Triple

T3233320
Position Surface form Disambiguated ID Type / Status
Subject Kendall Jenner E67792 entity
Predicate employer P7 FINISHED
Object E! (Entertainment Television) E65801 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: E! (Entertainment Television) | Statement: [Kendall Jenner, employer, E! (Entertainment Television)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: E! (Entertainment Television)
Context triple: [Kendall Jenner, employer, E! (Entertainment Television)]
  • A. E! chosen
    E! is an American cable television network best known for its entertainment news, celebrity gossip, and pop culture–focused reality programming.
  • B. Good Morning America
    Good Morning America is a long-running American morning television show on ABC that features news, interviews, and lifestyle segments.
  • C. Entertainment Weekly
    Entertainment Weekly is an American magazine and digital media brand that covers film, television, music, books, and pop culture news, reviews, and commentary.
  • D. VH1
    VH1 is an American cable television network known for music-related programming and pop culture reality shows.
  • E. 19 Entertainment
    19 Entertainment is a British-based entertainment company best known for creating and producing global television franchises such as "American Idol" and managing associated music and talent ventures.
  • 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_69ad858d27348190abb61c280b4c86a9 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaedb718c8190aae12f763033713a completed March 8, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a65d2988190a053eb2f22503f83 completed March 12, 2026, 7:56 p.m.
Created at: March 8, 2026, 3:08 p.m.