Triple

T12043014
Position Surface form Disambiguated ID Type / Status
Subject Jigsaw E286710 entity
Predicate title P38 FINISHED
Object Jigsaw E286710 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: Jigsaw | Statement: [Jigsaw, title, Jigsaw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jigsaw
Context triple: [Jigsaw, title, Jigsaw]
  • A. Jigsaw chosen
    Jigsaw is a 2017 American horror film in the Saw franchise that revives the series’ signature deadly games and moral tests years after the apparent death of the Jigsaw Killer.
  • B. Jigsaw Falling into Place
    "Jigsaw Falling into Place" is a song by the English rock band Radiohead, known for its dynamic build, intricate rhythms, and vivid lyrical portrayal of a chaotic night out.
  • C. Saw
    Saw is a 2004 horror film that launched a popular franchise known for its psychological terror, elaborate death traps, and twist ending.
  • D. Indian Killer
    Indian Killer is a dark, literary crime novel by Sherman Alexie that explores themes of identity, racism, and violence through the story of a serial killer targeting white men in Seattle.
  • E. Richard Ripley
    Richard Ripley is a wealthy, somewhat hapless businessman who becomes entangled in the criminal schemes and prison-break plot at the center of the film "Out of Sight."
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9040d13108190bd1a969fa62aae5a completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f649dbf081908e76c45e362217c1 completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:47 p.m.