Triple

T20814517
Position Surface form Disambiguated ID Type / Status
Subject Share My World E512401 entity
Predicate producer P490 FINISHED
Object Malcolm Jamal-Warner NE NERFINISHED

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: Malcolm Jamal-Warner | Statement: [Share My World, producer, Malcolm Jamal-Warner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malcolm Jamal-Warner
Context triple: [Share My World, producer, Malcolm Jamal-Warner]
  • A. Malcolm-Jamal Warner chosen
    Malcolm-Jamal Warner is an American actor and director best known for his role as Theo Huxtable on the groundbreaking sitcom "The Cosby Show."
  • B. Malcolm Johnson
    Malcolm Johnson is the protagonist of the horror story "A Haunted House," around whom the eerie and supernatural events of the narrative revolve.
  • C. Malcolm Smith
    Malcolm Smith is an American former NFL linebacker best known for his standout performance with the Seattle Seahawks, including earning Super Bowl XLVIII Most Valuable Player honors.
  • D. Malcolm Wilson
    Malcolm Wilson was an American Republican politician who served as governor of New York in the early 1970s.
  • E. Malcolm Craig
    Malcolm Craig is a musician best known as a co-founder and member of the indie rock band The Aubreys.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4cd25088190b48ca9700cd24efc completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2d4e43c8190aecce82a3f7e2de0 completed April 21, 2026, 12:20 a.m.
Created at: April 16, 2026, 12:41 p.m.