Triple

T10345019
Position Surface form Disambiguated ID Type / Status
Subject Shawn Wayans E243721 entity
Predicate notableWork P4 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: [Shawn Wayans, notableWork, Little Man]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Little Man
Context triple: [Shawn Wayans, notableWork, 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 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. Listen, Little Man!
    Listen, Little Man! is a psychological and political essay by Wilhelm Reich that critiques authoritarianism and explores the inner emotional life and social conditioning of the "common man."
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9228cd88190bcd94b85537233c1 completed April 7, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7507f708c8190b8cf684704a6e47d completed April 9, 2026, 7:08 a.m.
Created at: April 6, 2026, 11:56 a.m.