Triple

T14840024
Position Surface form Disambiguated ID Type / Status
Subject To the Wonder E348935 entity
Predicate editor P1954 FINISHED
Object Shane Hazen E348935 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: Shane Hazen | Statement: [To the Wonder, editor, Shane Hazen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shane Hazen
Context triple: [To the Wonder, editor, Shane Hazen]
  • A. Shane Hazen chosen
    Shane Hazen is a film editor known for his work on Terrence Malick’s romantic drama "To the Wonder."
  • B. Shane Vendrell
    Shane Vendrell is a volatile and morally compromised detective on the TV series "The Shield," known for his loyalty to Vic Mackey and his descent into increasingly tragic and violent choices.
  • C. Shane Johnson
    Shane Johnson is an American actor best known for his role as Cooper Saxe in the Power television franchise, including Power Book II: Ghost.
  • D. Shane Van Dyke
    Shane Van Dyke is an American actor, screenwriter, and director known for his work in film and television, often collaborating with members of the Van Dyke family.
  • E. Matt Sherring
    Matt Sherring is a screenwriter best known for writing the action thriller film "Killer Elite."
  • 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded28e40f08190b309d8ac6404d2fc completed April 14, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dbf1f5c8190ad4626d14e0d8109 completed May 9, 2026, 2:36 a.m.
Created at: April 10, 2026, 1:53 a.m.