Triple

T5532773
Position Surface form Disambiguated ID Type / Status
Subject Gran Torino E145087 entity
Predicate editedBy P1954 FINISHED
Object Joel Cox E220404 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: Joel Cox | Statement: [Gran Torino, editedBy, Joel Cox]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joel Cox
Context triple: [Gran Torino, editedBy, Joel Cox]
  • A. Joel Cox chosen
    Joel Cox is an American film editor best known for his long-time collaboration with director Clint Eastwood on numerous acclaimed movies.
  • B. Joel Reynolds
    Joel Reynolds is a fictional protagonist whose story centers on his personal experiences and development within the narrative from which he is drawn.
  • C. Joel Harrison
    Joel Harrison is an American jazz guitarist and composer known for his genre-blending work that fuses jazz with rock, classical, and world music influences.
  • D. Josh Cooley
    Josh Cooley is an American filmmaker and screenwriter best known for his work with Pixar Animation Studios, including co-writing "Inside Out" and directing "Toy Story 4."
  • E. Brant Daugherty
    Brant Daugherty is an American actor known for his roles in television series like "Pretty Little Liars" and films including the "Fifty Shades" franchise.
  • 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_69c008f9955881909bfa8348b56b4739 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f9ea2c88190a68642f5799bd8ff completed March 22, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c028094fa48190a1f48779a7963af9 completed March 22, 2026, 5:34 p.m.
Created at: March 22, 2026, 3:34 p.m.