Triple
T16004042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TechStyle Fashion Group |
E388164
|
entity |
| Predicate | SavageXFentyAssociation |
P120729
|
FINISHED |
| Object | operating partner for Savage X Fenty brand |
—
|
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: operating partner for Savage X Fenty brand | Statement: [TechStyle Fashion Group, SavageXFentyAssociation, operating partner for Savage X Fenty brand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SavageXFentyAssociation Context triple: [TechStyle Fashion Group, SavageXFentyAssociation, operating partner for Savage X Fenty brand]
-
A.
SMASH
Indicates a forceful impact where one entity violently breaks, crushes, or shatters another through strong physical contact.
-
B.
isPlaymateOf
Indicates a reciprocal relationship where two entities regularly engage in play or recreational activities together.
-
C.
fantasyBraValue
Indicates a relationship where a specific bra size or measurement is assigned to or associated with an entity in a fantasy or non-realistic context.
-
D.
hasBondGirl
Indicates that a person, typically a James Bond character, is associated with a romantic or significant female partner known as a "Bond girl."
-
E.
femaleHas
Indicates that a specified entity is female or possesses a female gender attribute in relation to another entity or context.
- F. None of above. chosen
Provenance (4 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e173b3bf6c81909230170e833d7ce7 |
completed | April 16, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69e142dc081c819082527e3fa8773460 |
completed | April 16, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69e173af801c8190bfc0f602831bb594 |
completed | April 16, 2026, 11:41 p.m. |
Created at: April 10, 2026, 4:55 a.m.