Triple

T7072521
Position Surface form Disambiguated ID Type / Status
Subject Donnie Wahlberg E164732 entity
Predicate notableWork P4 FINISHED
Object Saw IV E293670 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 IV | Statement: [Donnie Wahlberg, notableWork, Saw IV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saw IV
Context triple: [Donnie Wahlberg, notableWork, Saw IV]
  • A. Saw IV chosen
    Saw IV is a 2007 American horror film in the Saw franchise, continuing the series’ elaborate trap-based storyline and psychological terror.
  • 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 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.
  • D. 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.
  • E. Saw V
    Saw V is a 2008 American horror film in the Saw franchise, continuing the series’ elaborate trap-based killings and intricate storyline following the legacy of the Jigsaw Killer.
  • 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_69c6887b96548190a8a9b3ac8adf4119 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e4cb76548190bd98876f8ba925b7 completed March 27, 2026, 8:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a31a43b481908e535afc393b242a completed March 28, 2026, 9:44 a.m.
Created at: March 27, 2026, 2:39 p.m.