Triple

T18056372
Position Surface form Disambiguated ID Type / Status
Subject The Replacements E432048 entity
Predicate castMember P1668 FINISHED
Object Michael Jace 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: Michael Jace | Statement: [The Replacements, castMember, Michael Jace]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Jace
Context triple: [The Replacements, castMember, Michael Jace]
  • A. Michael Jace chosen
    Michael Jace is an American actor best known for his role as LAPD Officer Julien Lowe on the television series "The Shield."
  • B. Michael Kane
    Michael Kane is a screenwriter best known for writing the 1983 American sports drama film "All the Right Moves."
  • C. Michael Kane
    Michael Kane is a creator known for developing the character Stefen Djordjevic.
  • D. Stuart Whitman
    Stuart Whitman was an American actor known for his rugged leading-man roles in film and television during the 1950s and 1960s, including an Academy Award–nominated performance in "The Mark."
  • E. Biagio Anthony Gazzarra
    Biagio Anthony Gazzarra, better known as Ben Gazzara, was an American actor renowned for his intense performances in film, television, and theater, particularly in the mid-20th century.
  • 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_69d8b906482481908183315b9ecf9994 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4c102d08081908d2419c898213400 completed April 19, 2026, 11:48 a.m.
Created at: April 10, 2026, 10:26 a.m.