Triple

T13338217
Position Surface form Disambiguated ID Type / Status
Subject Maze Runner: The Death Cure E317752 entity
Predicate editedBy P1954 FINISHED
Object Paul Hirsch E220421 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: Paul Hirsch | Statement: [Maze Runner: The Death Cure, editedBy, Paul Hirsch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Hirsch
Context triple: [Maze Runner: The Death Cure, editedBy, Paul Hirsch]
  • A. Paul Hirsch chosen
    Paul Hirsch is an American film editor renowned for his work on major Hollywood films, including the original Star Wars.
  • B. Paul Hirsch
    Paul Hirsch was a German Social Democratic politician who briefly served as Minister President of Prussia during the early Weimar Republic.
  • C. Sander Goldberg
    Sander Goldberg is a scholar of classical literature known for his work on Roman drama and its reception in later periods.
  • D. Ron Winston
    Ron Winston was a television director best known for his work on classic anthology series such as The Twilight Zone.
  • E. Ken Hughes
    Ken Hughes was a British film director and screenwriter best known for directing the 1968 musical fantasy film "Chitty Chitty Bang Bang."
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99d01bf8481908cd3a99e5557b972 completed April 11, 2026, 12:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7267132488190a62930e98be70640 completed May 3, 2026, 10:41 a.m.
Created at: April 9, 2026, 9:31 p.m.