Triple

T12671462
Position Surface form Disambiguated ID Type / Status
Subject Dan Fogelman E302692 entity
Predicate creatorOf P806 FINISHED
Object Pitch E820939 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: Pitch | Statement: [Dan Fogelman, creatorOf, Pitch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pitch
Context triple: [Dan Fogelman, creatorOf, Pitch]
  • A. Pitch chosen
    Pitch is a sports drama television series centered on the first woman to play in Major League Baseball.
  • B. Pick
    Pick is a surname most notably associated with Israeli singer and composer Svika Pick and his family, including his daughter Daniella Pick.
  • C. Push
    "Push" is a 1996 novel by Sapphire that follows the harrowing yet hopeful coming-of-age story of an abused, illiterate Harlem teenager who begins to transform her life through alternative education and self-expression.
  • D. Push
    "Push" is a 1996 alternative rock song by Matchbox Twenty that became one of the band's breakthrough hits and a staple of late-1990s rock radio.
  • E. Push
    "Push" is a 2009 science fiction action film about people with psychic abilities who band together to take down a shadowy government agency.
  • 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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961ae493481908f82e0d05dce20bd completed April 10, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6689019988190ae3a3a52be45c83a completed May 2, 2026, 9:11 p.m.
Created at: April 9, 2026, 5:20 p.m.