Triple
T169403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gillian Armstrong |
E3085
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Gillian
Gillian is a feminine given name of Latin origin, commonly used in English-speaking countries.
|
E34741
|
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: Gillian | Statement: [Gillian Armstrong, givenName, Gillian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gillian Context triple: [Gillian Armstrong, givenName, Gillian]
-
A.
Kathleen
Kathleen is a feminine given name of Irish origin, derived from the name Catherine and widely used in English-speaking countries.
-
B.
Barbara
Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
-
C.
Joanna
Joanna is the first name of Joanna Newsom, an American harpist, singer-songwriter, and musician known for her intricate compositions and distinctive vocal style.
-
D.
Angela
Angela is the given name of Angela Merkel, the long-serving former Chancellor of Germany and a prominent European political leader.
-
E.
Susannah Martin
Susannah Martin was a Massachusetts woman executed for alleged witchcraft in 1692, remembered as one of the victims of the Salem witch trials.
- 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: Gillian Triple: [Gillian Armstrong, givenName, Gillian]
Generated description
Gillian is a feminine given name of Latin origin, commonly used in English-speaking countries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gillian Target entity description: Gillian is a feminine given name of Latin origin, commonly used in English-speaking countries.
-
A.
Kathleen
Kathleen is a feminine given name of Irish origin, derived from the name Catherine and widely used in English-speaking countries.
-
B.
Barbara
Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
-
C.
Joanna
Joanna is the first name of Joanna Newsom, an American harpist, singer-songwriter, and musician known for her intricate compositions and distinctive vocal style.
-
D.
Angela
Angela is the given name of Angela Merkel, the long-serving former Chancellor of Germany and a prominent European political leader.
-
E.
Susannah Martin
Susannah Martin was a Massachusetts woman executed for alleged witchcraft in 1692, remembered as one of the victims of the Salem witch trials.
- 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_69a2524ce1e48190ab066bf72859f474 |
completed | Feb. 28, 2026, 2:26 a.m. |
| NER | Named-entity recognition | batch_69a258b6f4f88190b1264bbbeb19a29e |
completed | Feb. 28, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a389a873d48190ac41ff919027688a |
completed | March 1, 2026, 12:34 a.m. |
| NEDg | Description generation | batch_69a38a1053fc819089599155120c3b83 |
completed | March 1, 2026, 12:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a38a5b53bc8190bf87f9260850fe9b |
completed | March 1, 2026, 12:37 a.m. |
Created at: Feb. 28, 2026, 2:34 a.m.