Triple

T13594955
Position Surface form Disambiguated ID Type / Status
Subject Jacob Moore E324793 entity
Predicate portrayedBy P1507 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: [Jacob Moore, portrayedBy, Shia LaBeouf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shia LaBeouf
Context triple: [Jacob Moore, portrayedBy, 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb057f1c881909a3bb77c659a724a completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bc762a08190b5d29cef9923da84 completed May 3, 2026, 3:37 p.m.
Created at: April 9, 2026, 9:49 p.m.