Triple
T35113557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christian Lacroix |
E1013365
|
entity |
| Predicate | debutHauteCoutureCollectionYear |
P117063
|
FINISHED |
| Object | 1987 |
—
|
LITERAL 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: 1987 | Statement: [Christian Lacroix, debutHauteCoutureCollectionYear, 1987]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: debutHauteCoutureCollectionYear Context triple: [Christian Lacroix, debutHauteCoutureCollectionYear, 1987]
-
A.
debutCollectionYear
chosen
Indicates the year in which an entity’s first collection (e.g., of works, products, or items) was initially released or presented.
-
B.
creativeDirectorEndYearAtGivenchy
Indicates the year in which an individual’s role as creative director at Givenchy came to an end.
-
C.
creativeDirectorStartYearAtGivenchy
Indicates the year in which an individual began serving as creative director at Givenchy.
-
D.
debutYear
Indicates the year in which an entity first appeared, was introduced, or made its initial public debut.
-
E.
firstInscriptionYear
Indicates the year in which an entity was first inscribed, recorded, or officially entered into a relevant register or list.
- F. None of above.
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_69f76dd659d08190bcdc00d37caafb62 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78f63c8788190b253a18de5ca1312 |
completed | May 3, 2026, 6:09 p.m. |
| PD | Predicate disambiguation | batch_69f78e2d71248190b850c2802ec170c0 |
completed | May 3, 2026, 6:04 p.m. |
Created at: May 3, 2026, 4:01 p.m.