Triple
T6130355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dominique Joseph Garat |
E136700
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Dominique |
E134253
|
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: Dominique | Statement: [Dominique Joseph Garat, givenName, Dominique]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dominique Context triple: [Dominique Joseph Garat, givenName, Dominique]
-
A.
Dominique
chosen
Dominique is a French given name commonly used for both males and females, notably borne by figures such as former IMF chief Dominique Strauss-Kahn.
-
B.
Dominique Blanc
Dominique Blanc is an acclaimed French actress known for her powerful performances in film, theatre, and television, and for winning multiple César Awards.
-
C.
Françoise
Françoise is the given name of Louise de La Vallière, a 17th-century French noblewoman best known as a mistress of King Louis XIV.
-
D.
Armande
Armande is a French given name historically associated with figures in the performing arts, notably in 17th-century France.
-
E.
Dominique Schnapper
Dominique Schnapper is a French sociologist and former member of the Constitutional Council, known for her work on citizenship, democracy, and minority integration.
- 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_69c008a0a37c81908e5b4f879158afb3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05c4de9c48190b98f67a6251ec1df |
completed | March 22, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c135d080808190938e3a1095080850 |
completed | March 23, 2026, 12:45 p.m. |
Created at: March 22, 2026, 4:15 p.m.