Triple

T19628763
Position Surface form Disambiguated ID Type / Status
Subject The Meteor Man E471209 entity
Predicate starring P1507 FINISHED
Object Robert Townsend 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: Robert Townsend | Statement: [The Meteor Man, starring, Robert Townsend]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Townsend
Context triple: [The Meteor Man, starring, Robert Townsend]
  • A. Robert Townsend chosen
    Robert Townsend is an American actor, director, and filmmaker known for his influential work in African-American cinema, including films like "Hollywood Shuffle" and "The Five Heartbeats."
  • B. Robert Townsend
    Robert Townsend was an American merchant and spy who served as a key undercover operative in George Washington’s Culper Ring during the American Revolutionary War.
  • C. Michael Leigh
    Michael Leigh is a renowned English film and theatre director and screenwriter known for his improvisational working methods and critically acclaimed social-realist dramas.
  • D. Jack Livingston
    Jack Livingston was an American silent film actor active in the early 20th century.
  • E. Jim Seymour
    Jim Seymour was an American football wide receiver best known for his standout college career at Notre Dame and subsequent professional play in the early 1970s.
  • 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_69d8e511f28481909f4bc3ea9191e54a completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e641007e5881908da78e50aa36f340 completed April 20, 2026, 3:06 p.m.
Created at: April 10, 2026, 1:44 p.m.