Triple

T17288790
Position Surface form Disambiguated ID Type / Status
Subject Last Weekend E419727 entity
Predicate starring P1507 FINISHED
Object Joseph Cross E807911 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: Joseph Cross | Statement: [Last Weekend, starring, Joseph Cross]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joseph Cross
Context triple: [Last Weekend, starring, Joseph Cross]
  • A. Joseph Cross chosen
    Joseph Cross is an American actor known for his roles in films such as "Running with Scissors," "Milk," and "Mank," as well as various television appearances.
  • B. Myles Connolly
    Myles Connolly was an American author, Hollywood screenwriter, and devout Catholic layman best known for his influential novel "Mr. Blue" and his work on numerous classic films.
  • C. Joseph Nolan
    Joseph Nolan is the father of British-American novelist and filmmaker Christopher Nolan.
  • D. Jeremiah O’Driscoll
    Jeremiah O’Driscoll is a film editor known for his work on major feature films, including the 2020 adaptation of "The Witches."
  • E. Jeremiah O’Driscoll
    Jeremiah O’Driscoll is a film editor best known for his work on major feature films, including serving as the editor of "The Polar Express."
  • 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_69d886db32608190a61e18862c5a8af6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e43781b7808190a0528ee9c54a0c66 completed April 19, 2026, 2:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a017957c738819087341bcd51b55114 completed May 11, 2026, 6:38 a.m.
Created at: April 10, 2026, 5:40 a.m.