Triple

T1583216
Position Surface form Disambiguated ID Type / Status
Subject Liam Neeson E34013 entity
Predicate familyName P18 FINISHED
Object 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: Neeson | Statement: [Liam Neeson, familyName, Neeson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neeson
Context triple: [Liam Neeson, familyName, 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. Matt Dillon
    Matt Dillon is an American actor known for his versatile performances in films ranging from 1980s teen dramas like "The Outsiders" to acclaimed roles in movies such as "Drugstore Cowboy" and "Crash."
  • C. Patrick O’Neal
    Patrick O’Neal was an American film, television, and stage actor known for his suave, often sophisticated roles in mid-20th-century Hollywood productions.
  • D. Colin Farrell
    Colin Farrell is an Irish actor known for his versatile performances in films such as "In Bruges," "Phone Booth," and "The Banshees of Inisherin."
  • E. Jeff Crowe
    Jeff Crowe is a former New Zealand cricketer who played as a middle-order batsman and later became an ICC match referee.
  • 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_69a885fceb2c8190b47e0f7c0aefbff0 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a908f0e72c8190bb7a2a0c77379060 completed March 5, 2026, 4:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad4698cde88190a113cb7cebc3df1e completed March 8, 2026, 9:51 a.m.
Created at: March 4, 2026, 7:27 p.m.