Triple
T7041928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Claire Clairmont |
E163533
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Claire |
E97238
|
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: Claire | Statement: [Claire Clairmont, givenName, Claire]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Claire Context triple: [Claire Clairmont, givenName, Claire]
-
A.
Claire
chosen
Claire is a feminine given name of French origin meaning "clear" or "bright," commonly used in English-speaking countries.
-
B.
Claire
Claire is a sharp-tongued, alcoholic sister whose acerbic wit and emotional volatility provide both dark humor and tension in Edward Albee’s play "A Delicate Balance."
-
C.
Claire Louise
Claire Louise was the wife of American film actor Robert Armstrong, best known for his role in the classic movie "King Kong."
-
D.
Claireece
Claireece is the birth name of the fictional character known as Precious, the abused and illiterate Harlem teenager at the center of Sapphire’s novel "Push" and its film adaptation "Precious."
-
E.
Claire Standish
Claire Standish is the popular, affluent "princess" student in the 1985 teen film *The Breakfast Club*, known for her social status and emotional growth during Saturday detention.
- 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_69c6885e7c1c8190be32a8f79ab4e0cf |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e23440e8819080963fe81cfa0695 |
completed | March 27, 2026, 8:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7886a24c48190bb461f26f87d6ef8 |
completed | March 28, 2026, 7:51 a.m. |
Created at: March 27, 2026, 2:36 p.m.