Triple
T22211157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thibaud |
E548948
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Thibault |
—
|
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: Thibault | Statement: [Thibaud, hasVariant, Thibault]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thibault Context triple: [Thibaud, hasVariant, Thibault]
-
A.
Thibault
chosen
Thibault is a surname most notably associated with Mike Thibault, a prominent American basketball coach in the WNBA.
-
B.
Baptiste
Baptiste is a British crime drama television series centered on the character of detective Julien Baptiste, a spin-off from the series "The Missing."
-
C.
Benoît
Benoît is the French form of the given name Benedict, commonly used in French-speaking countries.
-
D.
Clément
Clément is a French given name, equivalent to Clement in English, commonly used for males.
-
E.
Aurélien
Aurélien is a French given name commonly used for males, derived from the Latin name Aurelianus.
- 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_69e11e3f7e04819089806d81d5ac431e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b2bcf748190a9721f0c9ae17e70 |
completed | April 28, 2026, 9:48 p.m. |
Created at: April 16, 2026, 8:36 p.m.