Triple

T1937378
Position Surface form Disambiguated ID Type / Status
Subject Eddie Jordan E41472 entity
Predicate name P16 FINISHED
Object Eddie Jordan E41472 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: Eddie Jordan | Statement: [Eddie Jordan, name, Eddie Jordan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eddie Jordan
Context triple: [Eddie Jordan, name, Eddie Jordan]
  • A. Eddie Jordan chosen
    Eddie Jordan is a former American professional basketball player and coach best known for his NBA playing career and head coaching stints, including with the Washington Wizards and Rutgers University.
  • B. Geoff Burton
    Geoff Burton is an Australian cinematographer known for his work on numerous feature films and collaborations with prominent directors.
  • C. Robin Midgley
    Robin Midgley was a British theatre and television director known for his influential stage work and contributions to contemporary drama.
  • D. Colin Bell
    Colin Bell was an English footballer best known as a legendary Manchester City and England midfielder during the late 1960s and 1970s.
  • E. Tony Booth
    Tony Booth was a British actor best known for his role as Mike Rawlins in the sitcom "Till Death Us Do Part" and as the father of former UK Prime Minister Tony Blair.
  • 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_69a88649b24c819080047f26b6db2ded completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb2c752fc81909baf38ff1cdeb18c completed March 7, 2026, 5:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3f6285c8190925af156f49cf9a2 completed March 8, 2026, 10:11 p.m.
Created at: March 4, 2026, 7:36 p.m.