Triple

T2865063
Position Surface form Disambiguated ID Type / Status
Subject Kate Mara E63418 entity
Predicate film P9968 FINISHED
Object Shooter E62149 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: Shooter | Statement: [Kate Mara, film, Shooter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shooter
Context triple: [Kate Mara, film, Shooter]
  • A. Shotgun
    "Shotgun" is a 1955 American Western film starring Sterling Hayden as a lawman pursuing outlaws across rugged frontier territory.
  • B. Shooter (2007 film) chosen
    Shooter is a 2007 American action thriller film, directed by Antoine Fuqua and starring Mark Wahlberg as a framed ex-Marine sniper who uncovers a high-level conspiracy.
  • C. Machine Gun
    "Machine Gun" is the 1974 debut studio album by American funk and soul band the Commodores, known for its energetic instrumental title track and establishing the group's signature sound.
  • D. Pistol
    Pistol is a braggart, swaggering follower of Falstaff who appears as a comic, bombastic soldier in several of Shakespeare’s plays, including *The Merry Wives of Windsor*.
  • E. Point Blank
    Point Blank is a segment or component of the larger work titled "The River," likely representing a distinct chapter, track, or section within that overall composition.
  • 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_69ab4c42fb8c8190b36e161d47c03b81 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdfb9e64c819087b1a47caeb174d5 completed March 7, 2026, 8:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69b0314baa408190b1b398dcfaa29c53 completed March 10, 2026, 2:57 p.m.
Created at: March 6, 2026, 10:02 p.m.