Triple
T10356145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hussein Chalayan |
E244001
|
entity |
| Predicate | collaboratedWith |
P435
|
FINISHED |
| Object | Puma |
E23437
|
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: Puma | Statement: [Hussein Chalayan, collaboratedWith, Puma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Puma Context triple: [Hussein Chalayan, collaboratedWith, Puma]
-
A.
Puma
chosen
Puma is a major German sportswear and athletic footwear brand known for its performance-oriented shoes, apparel, and collaborations with high-profile athletes and designers.
-
B.
Puma
Puma is a genus of large, slender wild cats best known for the cougar (also called mountain lion or puma), a powerful and adaptable predator found across the Americas.
-
C.
Puma
Puma is the codename for Mac OS X 10.1, an early version of Apple’s Mac operating system that improved performance and usability over the initial Mac OS X release.
-
D.
PUMA
PUMA is a physics experiment that studies the properties and interactions of antiprotons at CERN’s Extra Low ENergy Antiproton ring (ELENA).
-
E.
Diadora
Diadora is an Italian sportswear and footwear brand known for producing football kits, athletic shoes, and apparel for various professional teams and athletes.
- 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e954a0b8819083e4bd1fa47dc6f5 |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d750a9b4188190a8ecdd9e4d97570b |
completed | April 9, 2026, 7:09 a.m. |
Created at: April 6, 2026, 11:58 a.m.