Triple

T13430148
Position Surface form Disambiguated ID Type / Status
Subject Barbara Jean Davis E313584 entity
Predicate modeledFor P2006 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: [Barbara Jean Davis, modeledFor, Wilhelmina Models]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wilhelmina Models
Context triple: [Barbara Jean Davis, modeledFor, 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_69d806ad0c44819088833ae1ec9e9690 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaed304ac8190a8021f749de8164c completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7398b828c8190a029a5862ae1fded completed May 3, 2026, 12:03 p.m.
Created at: April 9, 2026, 9:40 p.m.