Triple
T14083147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Speak Truth to Power: Human Rights Defenders Who Are Changing Our World |
E338916
|
entity |
| Predicate | featuresHumanRightsDefender |
P84558
|
FINISHED |
| Object |
Sister Dianna Ortiz
Sister Dianna Ortiz was an American Ursuline nun and human rights activist who became a prominent anti-torture advocate after surviving abduction and torture in Guatemala.
|
E1080850
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Sister Dianna Ortiz | Statement: [Speak Truth to Power: Human Rights Defenders Who Are Changing Our World, featuresHumanRightsDefender, Sister Dianna Ortiz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sister Dianna Ortiz Context triple: [Speak Truth to Power: Human Rights Defenders Who Are Changing Our World, featuresHumanRightsDefender, Sister Dianna Ortiz]
-
A.
Sister Hilaria
Sister Hilaria is a young nun who becomes a central figure in the mystery investigated by Brother Cadfael in Ellis Peters’ medieval detective novel "The Virgin in the Ice."
-
B.
Sister Monica Joan
Sister Monica Joan is an eccentric, elderly Anglican nun and retired midwife in the British period drama "Call the Midwife," known for her sharp wit, spiritual insight, and occasional confusion.
-
C.
Sister Peter Marie Reimondo
Sister Peter Marie Reimondo is a compassionate yet tough prison nun and counselor in the HBO drama series "Oz," known for her moral conviction and psychological insight into the inmates.
-
D.
Sister Mary Benedict
Sister Mary Benedict is the compassionate and determined nun, portrayed by Ingrid Bergman, who helps run a struggling parochial school in the classic film "The Bells of St. Mary's."
-
E.
Sister Stephanie Oskowski
Sister Stephanie Oskowski is a sharp, streetwise nun and Father Dowling’s loyal assistant in the mystery television series "Father Dowling Mysteries," often helping him solve crimes with her resourcefulness and wit.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sister Dianna Ortiz Triple: [Speak Truth to Power: Human Rights Defenders Who Are Changing Our World, featuresHumanRightsDefender, Sister Dianna Ortiz]
Generated description
Sister Dianna Ortiz was an American Ursuline nun and human rights activist who became a prominent anti-torture advocate after surviving abduction and torture in Guatemala.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sister Dianna Ortiz Target entity description: Sister Dianna Ortiz was an American Ursuline nun and human rights activist who became a prominent anti-torture advocate after surviving abduction and torture in Guatemala.
-
A.
Sister Hilaria
Sister Hilaria is a young nun who becomes a central figure in the mystery investigated by Brother Cadfael in Ellis Peters’ medieval detective novel "The Virgin in the Ice."
-
B.
Sister Monica Joan
Sister Monica Joan is an eccentric, elderly Anglican nun and retired midwife in the British period drama "Call the Midwife," known for her sharp wit, spiritual insight, and occasional confusion.
-
C.
Sister Peter Marie Reimondo
Sister Peter Marie Reimondo is a compassionate yet tough prison nun and counselor in the HBO drama series "Oz," known for her moral conviction and psychological insight into the inmates.
-
D.
Sister Mary Benedict
Sister Mary Benedict is the compassionate and determined nun, portrayed by Ingrid Bergman, who helps run a struggling parochial school in the classic film "The Bells of St. Mary's."
-
E.
Sister Stephanie Oskowski
Sister Stephanie Oskowski is a sharp, streetwise nun and Father Dowling’s loyal assistant in the mystery television series "Father Dowling Mysteries," often helping him solve crimes with her resourcefulness and wit.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5ede40048190b465e909565730c1 |
completed | April 14, 2026, 3:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0a3e55c81909b52f618e9076dd2 |
completed | May 7, 2026, 5:49 p.m. |
| NEDg | Description generation | batch_69fcd2ae45108190b1f400e4ae16a258 |
completed | May 7, 2026, 5:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcd3ad7be8819094fc71c9f44fb4cb |
completed | May 7, 2026, 6:02 p.m. |
Created at: April 9, 2026, 10:21 p.m.