Triple

T7918074
Position Surface form Disambiguated ID Type / Status
Subject Bee Movie E183876 entity
Predicate writer P1360 FINISHED
Object Spike Feresten E548885 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: Spike Feresten | Statement: [Bee Movie, writer, Spike Feresten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spike Feresten
Context triple: [Bee Movie, writer, Spike Feresten]
  • A. Spike Feresten chosen
    Spike Feresten is an American television writer, producer, and talk show host best known for his work on Seinfeld and his own late-night series Talkshow with Spike Feresten.
  • B. Eddie DeLange
    Eddie DeLange was an American lyricist and bandleader best known for co-writing popular standards of the 1930s and 1940s, including several hits with composer Jimmy Van Heusen.
  • C. Spike Hogan
    Spike Hogan is a child of Australian film director and screenwriter Jocelyn Moorhouse and her husband, filmmaker P.J. Hogan.
  • D. John Norville
    John Norville is a screenwriter best known for co-writing the story for Disney's adventure film "Jungle Cruise."
  • E. Ed Furillo
    Ed Furillo is a tough, cynical middle-aged man grappling with a midlife crisis in the comedy film "City Slickers," where he joins friends on a cattle drive to rediscover purpose and meaning.
  • 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_69ca828efbe48190bd48482650182e79 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a8fbbb48190b50def4941761a31 completed March 31, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5be9e6548190a01d2e6db8dc4864 completed March 31, 2026, 5:30 a.m.
Created at: March 30, 2026, 5:05 p.m.