Triple

T6349467
Position Surface form Disambiguated ID Type / Status
Subject Marlon Wayans E142831 entity
Predicate workedOn P3 FINISHED
Object Little Man E587265 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 | Statement: [Marlon Wayans, workedOn, Little Man]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Little Man
Context triple: [Marlon Wayans, workedOn, Little Man]
  • A. Little Man
    "Little Man" is a stand-up comedy special by American comedian Gary Owen, showcasing his energetic storytelling and observational humor.
  • B. 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.
  • C. Little Man chosen
    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 One
    Little One is a track from the jazz album "Maiden Voyage" by pianist and composer Herbie Hancock.
  • E. Little Man Tate
    Little Man Tate is a 1991 drama film about a child prodigy struggling with isolation and identity, marking Jodie Foster’s directorial debut.
  • 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_69c008d6dcbc8190aa1c2f1fd8916b42 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c067bcec2c8190bb383605847b0f0b completed March 22, 2026, 10:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d52cbd881908ac36eca108f3194 completed March 27, 2026, 7:10 a.m.
Created at: March 22, 2026, 4:31 p.m.