Triple
T15553808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hailey Bieber |
E370817
|
entity |
| Predicate | hasModeledFor |
P17880
|
FINISHED |
| Object | Prabal Gurung |
E835878
|
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: Prabal Gurung | Statement: [Hailey Bieber, hasModeledFor, Prabal Gurung]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prabal Gurung Context triple: [Hailey Bieber, hasModeledFor, Prabal Gurung]
-
A.
Prabal Gurung
chosen
Prabal Gurung is a Nepalese-American fashion designer known for his eponymous luxury womenswear label frequently showcased at New York Fashion Week.
-
B.
Alexandr Wang
Alexandr Wang is an American entrepreneur best known as the co-founder and CEO of AI data company Scale AI.
-
C.
Demna Gvasalia
Demna Gvasalia is a Georgian fashion designer known for his avant-garde, streetwear-influenced aesthetic and for revitalizing Balenciaga as its creative director.
-
D.
Pablo Proenza
Pablo Proenza is a film editor best known for his work on Michael Moore’s documentary "Where to Invade Next."
-
E.
Alexander Wang
Alexander Wang is an American fashion designer known for his edgy, minimalist aesthetic and influential work at his eponymous label and as former creative director of Balenciaga.
- 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04a96c0c88190808f68601a36b506 |
completed | April 16, 2026, 2:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff456209288190aba6debd434af741 |
completed | May 9, 2026, 2:32 p.m. |
Created at: April 10, 2026, 4:09 a.m.