Triple

T1916333
Position Surface form Disambiguated ID Type / Status
Subject Luc Longley E40025 entity
Predicate name P16 FINISHED
Object Luc Longley E40025 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: Luc Longley | Statement: [Luc Longley, name, Luc Longley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luc Longley
Context triple: [Luc Longley, name, Luc Longley]
  • A. Luc Longley chosen
    Luc Longley is an Australian former professional basketball center best known for winning three consecutive NBA championships with the Chicago Bulls in the 1990s.
  • B. Jeff Richmond
    Jeff Richmond is an American composer, producer, and director known for his work on television comedies such as "30 Rock" and "Unbreakable Kimmy Schmidt."
  • C. Patrick Carr
    Patrick Carr was one of the five colonists fatally wounded in the 1770 Boston Massacre, whose death helped inflame anti-British sentiment in the American colonies.
  • D. Duane Starks
    Duane Starks is a former NFL cornerback best known for his playmaking role in the Baltimore Ravens’ dominant early-2000s defense and his key interception return for a touchdown in Super Bowl XXXV.
  • E. Neil Canton
    Neil Canton is an American film producer best known for his work on the Back to the Future trilogy and other major Hollywood films.
  • 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_69a8864298748190a2f2fd34f7ef8d77 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb20f54848190b9457e1231aa49db completed March 7, 2026, 5:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0ac4ea348190b8f2ebc2f81ea353 completed March 8, 2026, 11:48 p.m.
Created at: March 4, 2026, 7:35 p.m.