Triple

T11597350
Position Surface form Disambiguated ID Type / Status
Subject Shia LaBeouf E275038 entity
Predicate fullName P16 FINISHED
Object Shia Saide 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 Saide LaBeouf | Statement: [Shia LaBeouf, fullName, Shia Saide LaBeouf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shia Saide LaBeouf
Context triple: [Shia LaBeouf, fullName, Shia Saide 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. Josh Hutcherson
    Josh Hutcherson is an American actor best known for his role as Peeta Mellark in "The Hunger Games" film series.
  • C. Kit Connor
    Kit Connor is a British actor best known for his role as Nick Nelson in the Netflix series "Heartstopper."
  • D. Kevin Zegers
    Kevin Zegers is a Canadian actor best known for his early breakout role in the family film "Air Bud" and later appearances in projects like "Transamerica," "Gossip Girl," and "The Mortal Instruments: City of Bones."
  • 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_69d6aae6b14c81908dc5a74bad7591f9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d89549c870819086e16e9110bbad87 completed April 10, 2026, 6:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69e8a7cad108819082eebb3ca130f5b8 completed April 22, 2026, 10:49 a.m.
Created at: April 8, 2026, 9:38 p.m.