Triple
T1760113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clare Boothe Luce |
E38637
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Clare |
E126371
|
NE FINISHED |
How this triple was built (2 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: Clare | Statement: [Clare Boothe Luce, givenName, Clare]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clare Context triple: [Clare Boothe Luce, givenName, Clare]
-
A.
Clare
chosen
Clare is a central character in the Restoration comedy "The Witty Fair One," known for embodying the play’s themes of wit, romance, and social intrigue.
-
B.
Clare West
Clare West was an early Hollywood costume designer known for her influential work on major silent films, including collaborations with director Cecil B. DeMille.
-
C.
Erin
Erin Jobs is the daughter of Apple co-founder Steve Jobs and his wife Laurene Powell Jobs.
-
D.
Niles
Niles is a historic former town in California, now a district of Fremont, known for its early silent film industry and railroad heritage.
-
E.
Bethany
Bethany is a village near Jerusalem mentioned in the New Testament, traditionally known as the home of Mary, Martha, and Lazarus and a frequent place visited by Jesus.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a8862d562481908d7025a1c1f67c0d |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa643f6a188190a250d5982badcce5 |
completed | March 6, 2026, 5:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada0ec80f48190bcdc92e5ed4e44e6 |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 4, 2026, 7:31 p.m.