Triple

T8135064
Position Surface form Disambiguated ID Type / Status
Subject Fred Tate E189948 entity
Predicate createdFor P7551 FINISHED
Object Little Man Tate E25133 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: Little Man Tate | Statement: [Fred Tate, createdFor, Little Man Tate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Little Man Tate
Context triple: [Fred Tate, createdFor, Little Man Tate]
  • A. Little Man Tate chosen
    Little Man Tate is a 1991 drama film about a child prodigy struggling with isolation and identity, marking Jodie Foster’s directorial debut.
  • B. Little Man
    "Little Man" is a stand-up comedy special by American comedian Gary Owen, showcasing his energetic storytelling and observational humor.
  • C. Little Man
    Little Man is a 2006 American comedy film starring Marlon Wayans as a diminutive criminal who poses as a baby to retrieve a stolen diamond.
  • D. Little Man
    "Little Man" is a 1966 pop song by the American duo Sonny & Cher, known for its distinctive folk-influenced sound and international chart success.
  • E. Little Man
    Little Man is a prominent subsidiary summit of Skiddaw in England’s Lake District, popular with hikers for its fine views and distinctive profile.
  • 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_69ca82bcb4848190a9a9d036ad768642 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb43fff6e0819086c95b571272b50c completed March 31, 2026, 3:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd3457196081909f739af8c17b4d4c completed April 1, 2026, 3:05 p.m.
Created at: March 30, 2026, 5:35 p.m.