Triple

T12164579
Position Surface form Disambiguated ID Type / Status
Subject Saw III E289796 entity
Predicate mainCharacter P1183 FINISHED
Object Amanda Young E1061111 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: Amanda Young | Statement: [Saw III, mainCharacter, Amanda Young]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amanda Young
Context triple: [Saw III, mainCharacter, Amanda Young]
  • A. Amanda Young chosen
    Amanda Young is a central character in the Saw horror film franchise, known for being one of Jigsaw’s most prominent protégés and later a conflicted antagonist.
  • B. Amanda Woods
    Amanda Woods is a successful but emotionally guarded Los Angeles movie trailer producer who swaps homes with a British woman over Christmas in the romantic comedy film "The Holiday."
  • C. Amanda Lucas
    Amanda Lucas is an American actress and mixed martial artist best known as the adopted daughter of filmmaker George Lucas and for her small roles in the Star Wars prequel films.
  • D. Amanda Clayton
    Amanda Clayton is an American actress best known for her role in the crime drama television series "City on a Hill."
  • E. Amanda Robinson
    Amanda Robinson is the spouse of Jason Robinson.
  • 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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915c498a081908389598d0c247505 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc30d72588190a1ebab7477c9e668 completed May 6, 2026, 10:39 p.m.
Created at: April 8, 2026, 9:50 p.m.