Triple

T9085102
Position Surface form Disambiguated ID Type / Status
Subject Mary Elizabeth Mastrantonio E217731 entity
Predicate coStarredWith P14987 FINISHED
Object Kevin Costner E20152 NE FINISHED

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: Kevin Costner | Statement: [Mary Elizabeth Mastrantonio, coStarredWith, Kevin Costner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kevin Costner
Context triple: [Mary Elizabeth Mastrantonio, coStarredWith, Kevin Costner]
  • A. Kevin Costner chosen
    Kevin Costner is an American actor and filmmaker known for leading roles in films such as "Dances with Wolves," "Field of Dreams," and "The Bodyguard."
  • B. Joe Costner
    Joe Costner is an American actor and the son of Academy Award–winning actor and filmmaker Kevin Costner.
  • C. Liam Costner
    Liam Costner is one of Kevin Costner’s children, known primarily for his connection to the famous American actor and filmmaker.
  • D. Hayes Costner
    Hayes Costner is a person known primarily as a sibling of Cayden Costner.
  • E. Jeff Bridges
    Jeff Bridges is an acclaimed American actor known for his versatile performances in films such as "The Big Lebowski," "Crazy Heart," and "True Grit."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca83d7a0388190ba1af89ed7ba36f9 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc960d0b008190b0e9e61fac45101d completed April 1, 2026, 3:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffe38f0048190a9fb15e73d9bcd50 completed April 3, 2026, 5:51 p.m.
Created at: March 30, 2026, 7:13 p.m.