Triple
T20939547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ingrid Chauvin |
E515679
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ingrid Chauvin |
—
|
NE NERFINISHED |
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: Ingrid Chauvin | Statement: [Ingrid Chauvin, name, Ingrid Chauvin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ingrid Chauvin Context triple: [Ingrid Chauvin, name, Ingrid Chauvin]
-
A.
Ingrid Chauvin
chosen
Ingrid Chauvin is a French actress best known for her roles in popular television dramas and soap operas.
-
B.
Jacqueline Belhomme
Jacqueline Belhomme is a French politician who serves as the mayor of the Paris suburb of Malakoff.
-
C.
Yvette Chauviré
Yvette Chauviré was a renowned French ballerina celebrated as one of the greatest étoiles of the 20th century and a defining figure of classical ballet in France.
-
D.
Maria Duchateau
Maria Duchateau was the Dutch wife of Indonesian independence leader and first Prime Minister Sutan Sjahrir.
-
E.
Caroline Champetier
Caroline Champetier is a renowned French cinematographer known for her visually distinctive work on numerous art-house and international films.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4fc13408190b06868df03c5c29b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f954e44481909098a0b23a687d5e |
completed | April 21, 2026, 4:13 a.m. |
Created at: April 16, 2026, 12:50 p.m.