Triple

T13437883
Position Surface form Disambiguated ID Type / Status
Subject Curve division E320277 entity
Predicate associatedOrganization P37 FINISHED
Object Wilhelmina Models E83010 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: Wilhelmina Models | Statement: [Curve division, associatedOrganization, Wilhelmina Models]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wilhelmina Models
Context triple: [Curve division, associatedOrganization, Wilhelmina Models]
  • A. Wilhelmina Models chosen
    Wilhelmina Models is a major international modeling and talent agency representing fashion models and other artists worldwide.
  • B. Models Inc.
    Models Inc. is a mid-1990s American prime-time soap opera centered on the lives and careers of models at a Los Angeles modeling agency.
  • C. LA Models (former)
    LA Models (former) is a Los Angeles–based modeling agency that previously represented Australian actor and former model Travis Fimmel.
  • D. Lisette Model
    Lisette Model was an Austrian-born American photographer renowned for her candid, often unflattering street portraits that profoundly shaped postwar documentary and art photography.
  • E. Victoria’s Secret
    Victoria’s Secret is a prominent American lingerie and beauty retailer known for its fashion shows, supermodel “Angels,” and extensive line of intimate apparel and related products.
  • 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_69d80761e6cc8190a90c844589998ecc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaee5ec488190bd0c1e990dbd2bc2 completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78ad5c68881908264947993bc7811 completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:40 p.m.