Triple
T1140476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puma |
E23437
|
entity |
| Predicate | hasCollaboration |
P10645
|
FINISHED |
| Object | Alexander McQueen |
E55551
|
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: Alexander McQueen | Statement: [Puma, hasCollaboration, Alexander McQueen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alexander McQueen Context triple: [Puma, hasCollaboration, Alexander McQueen]
-
A.
Alexander McQueen
chosen
Alexander McQueen was a groundbreaking British fashion designer and couturier renowned for his dramatic, avant-garde runway shows and technically masterful, often darkly romantic designs.
-
B.
Stella McCartney
Stella McCartney is a British fashion designer renowned for her sustainable, animal-free luxury clothing and accessories.
-
C.
Tom Ford
Tom Ford is an American fashion designer and filmmaker known for revitalizing Gucci and directing acclaimed films such as "A Single Man" and "Nocturnal Animals."
-
D.
Charles Wintour
Charles Wintour was a prominent British newspaper editor best known for modernizing London’s Evening Standard and for being the father of Vogue editor-in-chief Anna Wintour.
-
E.
Balmain
Balmain is a French luxury fashion house renowned for its opulent, sharply tailored designs and influential presence on international runways.
- 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_69a493ef399c8190b04b9146d2314f59 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc290ae08190afbf7e7ea2100d9e |
completed | March 1, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac59b020d48190bc6ecbdb720c6779 |
completed | March 7, 2026, 5 p.m. |
Created at: March 1, 2026, 7:44 p.m.