Triple

T12569964
Position Surface form Disambiguated ID Type / Status
Subject Saw 3D E295573 entity
Predicate follows P134 FINISHED
Object Saw VI E296258 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 VI | Statement: [Saw 3D, follows, Saw VI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Saw VI
Context triple: [Saw 3D, follows, Saw VI]
  • A. Saw VI chosen
    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.
  • 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 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.
  • D. Saw IV
    Saw IV is a 2007 American horror film in the Saw franchise, continuing the series’ elaborate trap-based storyline and psychological terror.
  • E. Saw
    Saw is a 2004 horror film that launched a popular franchise known for its psychological terror, elaborate death traps, and twist ending.
  • 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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d954a422c88190a22cc34d2eac00ce completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ea78dcc819091773d900ad44be6 completed May 2, 2026, 11:54 p.m.
Created at: April 8, 2026, 11:50 p.m.