Triple

T13780120
Position Surface form Disambiguated ID Type / Status
Subject E! Online E331110 entity
Predicate parentOrganization P254 FINISHED
Object E! (TV network) 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! (TV network) | Statement: [E! Online, parentOrganization, E! (TV network)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: E! (TV network)
Context triple: [E! Online, parentOrganization, E! (TV network)]
  • 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. Entertainment Tonight
    Entertainment Tonight is a long-running American entertainment news television program that covers celebrity news, Hollywood events, and the film and television industry.
  • C. Us Weekly
    Us Weekly is an American celebrity and entertainment news magazine known for its coverage of Hollywood gossip, fashion, and pop culture.
  • D. Good Morning America
    Good Morning America is a long-running American morning television show on ABC that features news, interviews, and lifestyle segments.
  • E. Inside Edition
    Inside Edition is a long-running American television newsmagazine program that focuses on tabloid-style news, celebrity stories, and human-interest features.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02460a688190a27874f8d35819c7 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69fd8a9c41908190b789765861bd9924 completed May 8, 2026, 7:02 a.m.
Created at: April 9, 2026, 10:11 p.m.