Triple

T17065451
Position Surface form Disambiguated ID Type / Status
Subject John Hillcoat E414073 entity
Predicate collaboratedWith P435 FINISHED
Object Shia LaBeouf E275038 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: Shia LaBeouf | Statement: [John Hillcoat, collaboratedWith, Shia LaBeouf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shia LaBeouf
Context triple: [John Hillcoat, collaboratedWith, Shia LaBeouf]
  • A. Shia LaBeouf chosen
    Shia LaBeouf is an American actor and performance artist known for roles in films such as the Transformers series, Honey Boy, and American Honey, as well as for his often controversial public persona.
  • B. Jeffrey LaBeouf
    Jeffrey LaBeouf is an American Vietnam War veteran, former clown and performer, and the father of actor Shia LaBeouf, whose troubled relationship with his son has been widely discussed in media and art.
  • C. Josh Hutcherson
    Josh Hutcherson is an American actor best known for his role as Peeta Mellark in "The Hunger Games" film series.
  • D. Kit Connor
    Kit Connor is a British actor best known for his role as Nick Nelson in the Netflix series "Heartstopper."
  • E. Logan Lerman
    Logan Lerman is an American actor best known for his lead role in the "Percy Jackson" film series and performances in movies such as "The Perks of Being a Wallflower" and "Fury."
  • 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_69d886cde3d481908d4d01ba88ba7eb7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3db806de48190a9ce68b40fc77a74 completed April 18, 2026, 7:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01234e9a94819094618ba43b7d22b4 completed May 11, 2026, 12:31 a.m.
Created at: April 10, 2026, 5:34 a.m.