Triple

T21184752
Position Surface form Disambiguated ID Type / Status
Subject Larry Steers E522050 entity
Predicate name P16 FINISHED
Object Larry Steers 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: Larry Steers | Statement: [Larry Steers, name, Larry Steers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Larry Steers
Context triple: [Larry Steers, name, Larry Steers]
  • A. Larry Steers chosen
    Larry Steers was a prolific American character actor of the silent and early sound film era, appearing in hundreds of movies in mostly uncredited or supporting roles.
  • B. Larry Seiple
    Larry Seiple is a former American football player best known as the versatile punter and occasional offensive contributor for the Miami Dolphins during their dominant early-1970s era.
  • C. Carl Stever
    Carl Stever is an actor best known for his role in the Australian film "The FJ Holden."
  • D. Richard Strout
    Richard Strout is a central character in the film "In the Bedroom," whose violent actions drive the story’s tragic conflict.
  • E. Jerry Grote
    Jerry Grote was a standout defensive catcher and key contributor for the New York Mets during their 1969 World Series championship season.
  • 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_69e0b50ef1d48190b063aa342667df22 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e730205ce88190b0bb33003295d6e7 completed April 21, 2026, 8:06 a.m.
Created at: April 16, 2026, 3:06 p.m.