Triple

T12401329
Position Surface form Disambiguated ID Type / Status
Subject Saw VI E296258 entity
Predicate featuresCharacter P626 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 VI, featuresCharacter, Amanda Young]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amanda Young
Context triple: [Saw VI, featuresCharacter, 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d46007c81908e0f4b590402bf58 completed April 10, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd32359c54819098349d7d1c1e454f completed May 8, 2026, 12:45 a.m.
Created at: April 8, 2026, 9:55 p.m.