Triple
T20599182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dominique Dawes |
E506128
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Dominique |
—
|
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: Dominique | Statement: [Dominique Dawes, givenName, Dominique]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dominique Context triple: [Dominique Dawes, 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
Dominique is an intimate apparel brand included in the Vanity Fair Brands portfolio, known for its bras and lingerie.
-
C.
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.
-
D.
Dominique Francon
Dominique Francon is a central, complex heroine in Ayn Rand’s The Fountainhead, known for her beauty, fierce independence, and conflicted idealism.
-
E.
Françoise
Françoise is a French feminine given name historically borne by numerous notable women in France and other Francophone regions.
- 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_69e0b4ba6ae88190af871e1f9522c704 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aa1e251c8190926dafe1402eb63c |
completed | April 20, 2026, 10:35 p.m. |
Created at: April 16, 2026, 11:40 a.m.