Triple
T12991203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angélique Kidjo |
E321910
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Angélique |
E329776
|
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: Angélique | Statement: [Angélique Kidjo, givenName, Angélique]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angélique Context triple: [Angélique Kidjo, givenName, Angélique]
-
A.
Angélique
chosen
Angélique is a French feminine given name historically borne by figures such as Angélique Diderot, the daughter of philosopher Denis Diderot.
-
B.
Sébastienne
Sébastienne is a French feminine given name, used here as part of the full name Louise Sébastienne Gély.
-
C.
Angélique de Bullion
Angélique de Bullion was a 17th-century French noblewoman and philanthropist who played a key role in financing early Catholic missionary and colonization efforts in New France, particularly in Montreal.
-
D.
Agnès
Agnès is the naive young ward in Molière’s comedy "L’École des femmes," whose sheltered upbringing and awakening to love drive the play’s central conflict.
-
E.
La Fanette
"La Fanette" is a melancholic chanson by Belgian singer-songwriter Jacques Brel, known for its vivid storytelling and themes of lost love and regret.
- 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e7765788190a9503ef055bc30ca |
completed | April 10, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8fb70f481908a9a4ca04d6bf93b |
completed | May 3, 2026, 2:54 a.m. |
Created at: April 9, 2026, 8:43 p.m.