Triple

T5402041
Position Surface form Disambiguated ID Type / Status
Subject Dead by Daylight E120798 entity
Predicate notableLicensedFranchise P8079 FINISHED
Object Saw E286709 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: Saw | Statement: [Dead by Daylight, notableLicensedFranchise, Saw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saw
Context triple: [Dead by Daylight, notableLicensedFranchise, Saw]
  • A. Saw chosen
    Saw is a 2004 horror film that launched a popular franchise known for its psychological terror, elaborate death traps, and twist ending.
  • B. Saw III
    Saw III is a 2006 American horror film in the Saw franchise, known for its elaborate traps, graphic violence, and continuation of the Jigsaw killer’s storyline.
  • C. Saw 3D
    Saw 3D is a 2010 American horror film in the Saw franchise, marketed as the series’ first 3D installment and intended as a concluding chapter to the long-running torture-porn saga.
  • D. Saw VI
    Saw VI is a 2009 American horror film in the Saw franchise that continues the story of the Jigsaw Killer’s gruesome moral tests and traps.
  • E. Saw II
    Saw II is a 2005 horror film in the Saw franchise, known for its elaborate death traps and psychological games orchestrated by the serial killer Jigsaw.
  • 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_69bd46391c0c81909fa484446732b6a3 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91ac1bf08190a9a575c9822de6cc completed March 20, 2026, 6:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3388c10481908235da34ef509d37 completed March 22, 2026, 12:10 a.m.
Created at: March 20, 2026, 2:04 p.m.