Triple

T18812792
Position Surface form Disambiguated ID Type / Status
Subject Linda Fiorentino E460056 entity
Predicate coStarredWith P14987 FINISHED
Object Matt Damon 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: Matt Damon | Statement: [Linda Fiorentino, coStarredWith, Matt Damon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matt Damon
Context triple: [Linda Fiorentino, coStarredWith, Matt Damon]
  • A. Matt Damon chosen
    Matt Damon is an American actor, producer, and screenwriter known for his versatile performances in films such as Good Will Hunting, the Bourne series, and The Martian.
  • B. Ben Affleck
    Ben Affleck is an American actor, director, and screenwriter known for films such as "Good Will Hunting," "Argo," and for portraying Batman in the DC Extended Universe.
  • C. Ian Affleck
    Ian Affleck is a Canadian theoretical physicist known for influential contributions to condensed matter physics and quantum field theory.
  • D. George Clooney
    George Clooney is an American actor, filmmaker, and activist renowned for his work in film and television as well as his humanitarian and political advocacy.
  • E. Stephen Gyllenhaal
    Stephen Gyllenhaal is an American film and television director and poet, known for directing dramas such as "Waterland" and for being the father of actors Jake and Maggie Gyllenhaal.
  • 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_69d8d398c7d4819091cb2f7e48948aeb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a3dcc7d88190801d9c9202e0e411 completed April 20, 2026, 3:56 a.m.
Created at: April 10, 2026, 11:53 a.m.