Triple

T823835
Position Surface form Disambiguated ID Type / Status
Subject Guy Pearce E17808 entity
Predicate name P16 FINISHED
Object Guy Pearce E17808 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: Guy Pearce | Statement: [Guy Pearce, name, Guy Pearce]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guy Pearce
Context triple: [Guy Pearce, name, Guy Pearce]
  • A. Guy Pearce chosen
    Guy Pearce is an Australian actor known for his versatile performances in films such as "Memento," "L.A. Confidential," and "The King's Speech."
  • B. Ben Mendelsohn
    Ben Mendelsohn is an Australian actor known for his intense character roles in film and television, including prominent villains in major Hollywood productions.
  • C. Robert Pitt
    Robert Pitt was an English merchant and politician of the late 17th and early 18th centuries, best known for his wealth from Indian trade and as the patriarch of the influential Pitt family.
  • D. Russell Crowe
    Russell Crowe is an Academy Award–winning New Zealand–born actor renowned for intense, transformative performances in films such as Gladiator and A Beautiful Mind.
  • E. Burn Gorman
    Burn Gorman is a British-American actor known for his character roles in film and television, including appearances in projects like "Torchwood," "Game of Thrones," and "Pacific Rim."
  • 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_69a4937c9c188190aaa216f6b466f452 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ab7d3984819089aefbf12d3b3c2c completed March 1, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c00e3fb48190a242264358413b05 completed March 4, 2026, 5:15 a.m.
Created at: March 1, 2026, 7:38 p.m.