Triple
T20262340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boonsboro, Maryland |
E498871
|
entity |
| Predicate | hasNotableResident |
P1092
|
FINISHED |
| Object |
Nora Roberts
Nora Roberts is a prolific American author best known for her numerous bestselling romance and suspense novels.
|
E1420593
|
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: Nora Roberts | Statement: [Boonsboro, Maryland, hasNotableResident, Nora Roberts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nora Roberts Context triple: [Boonsboro, Maryland, hasNotableResident, Nora Roberts]
-
A.
Linda Howard
Linda Howard is a fictional protagonist featured in the film "Lost in America."
-
B.
Francine Rivers
Francine Rivers is a bestselling American author known for her inspirational Christian fiction novels, particularly "Redeeming Love."
-
C.
Christina Holt
Christina Holt is a family member of Dr. Michael Holt, a connection that places her within his immediate personal and familial circle.
-
D.
Jackie Collins
Jackie Collins was a bestselling British-American novelist known for her glamorous, scandal-filled tales of Hollywood life, including the popular "Hollywood Wives" series.
-
E.
Mary Higgins Clark
Mary Higgins Clark was a bestselling American author renowned for her suspenseful mystery and thriller novels, often featuring strong female protagonists.
- 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: Nora Roberts Triple: [Boonsboro, Maryland, hasNotableResident, Nora Roberts]
Generated description
Nora Roberts is a prolific American author best known for her numerous bestselling romance and suspense novels.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nora Roberts Target entity description: Nora Roberts is a prolific American author best known for her numerous bestselling romance and suspense novels.
-
A.
Linda Howard
Linda Howard is a fictional protagonist featured in the film "Lost in America."
-
B.
Francine Rivers
Francine Rivers is a bestselling American author known for her inspirational Christian fiction novels, particularly "Redeeming Love."
-
C.
Christina Holt
Christina Holt is a family member of Dr. Michael Holt, a connection that places her within his immediate personal and familial circle.
-
D.
Jackie Collins
Jackie Collins was a bestselling British-American novelist known for her glamorous, scandal-filled tales of Hollywood life, including the popular "Hollywood Wives" series.
-
E.
Mary Higgins Clark
Mary Higgins Clark was a bestselling American author renowned for her suspenseful mystery and thriller novels, often featuring strong female protagonists.
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e674cba2748190a886ecd8316dc518 |
completed | April 20, 2026, 6:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0855311d4c8190bab2119e20359ae9 |
completed | May 16, 2026, 11:29 a.m. |
| NEDg | Description generation | batch_6a0855c6bab08190831cc78647de84fc |
completed | May 16, 2026, 11:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0856e66c808190b5ef994f1cbc5f3e |
completed | May 16, 2026, 11:37 a.m. |
Created at: April 11, 2026, 11:41 p.m.