Triple

T16004344
Position Surface form Disambiguated ID Type / Status
Subject Admiral Shane E388174 entity
Predicate portrayedBy P1507 FINISHED
Object Liam Neeson E34013 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: Liam Neeson | Statement: [Admiral Shane, portrayedBy, Liam Neeson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liam Neeson
Context triple: [Admiral Shane, portrayedBy, Liam Neeson]
  • A. Liam Neeson chosen
    Liam Neeson is an Irish actor renowned for his powerful performances in dramas and action films, including roles in "Schindler's List," "Taken," and "Star Wars: Episode I – The Phantom Menace."
  • B. Sean Brosnan
    Sean Brosnan is an American actor and filmmaker, best known as the son of Irish actor Pierce Brosnan.
  • C. Paris Brosnan
    Paris Brosnan is an American model and filmmaker, best known as the son of actor Pierce Brosnan and for his work in fashion and humanitarian projects.
  • D. Stephen Lang
    Stephen Lang is an American actor known for his intense character roles in film, television, and theater, including prominent performances in movies like "Avatar" and "Public Enemies."
  • E. Christopher Brosnan
    Christopher Brosnan is a British filmmaker and the son of actor Pierce Brosnan, known for his work in directing and screenwriting.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157fe776c81908f7bf29ef064a6ba completed April 16, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3dec0c0819099b9007ad0fc6fb4 completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:55 a.m.