Triple
T20071667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gigi Hadid |
E499752
|
entity |
| Predicate | hasModeledFor |
P17880
|
FINISHED |
| Object | Stuart Weitzman |
—
|
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: Stuart Weitzman | Statement: [Gigi Hadid, hasModeledFor, Stuart Weitzman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stuart Weitzman Context triple: [Gigi Hadid, hasModeledFor, Stuart Weitzman]
-
A.
Stuart Weitzman
chosen
Stuart Weitzman is an American shoe designer and entrepreneur renowned for his luxury footwear brand and philanthropic support of arts and education.
-
B.
Steven Weitzman
Steven Weitzman is an American sculptor and public artist known for creating prominent civic monuments and historical statues.
-
C.
Jimmy Choo
Jimmy Choo is a luxury fashion brand best known for its high-end designer shoes, handbags, and accessories.
-
D.
Sam Edelman
Sam Edelman is an American fashion footwear and accessories brand known for its stylish, contemporary shoes and wide retail presence.
-
E.
Tory Burch
Tory Burch is an American fashion designer and businesswoman known for her eponymous lifestyle brand featuring preppy-bohemian clothing, accessories, and footwear.
- 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66438633481908710907c48806499 |
completed | April 20, 2026, 5:36 p.m. |
Created at: April 11, 2026, 3:40 p.m.