Triple

T14040708
Position Surface form Disambiguated ID Type / Status
Subject Antonio Brown E337836 entity
Predicate hasRelative P367 FINISHED
Object Eddie Brown E416102 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 Brown | Statement: [Antonio Brown, hasRelative, Eddie Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eddie Brown
Context triple: [Antonio Brown, hasRelative, Eddie Brown]
  • A. Eddie Brown chosen
    Eddie Brown is a former star wide receiver widely regarded as one of the greatest players in Arena Football League history.
  • B. Eddie Lucas
    Eddie Lucas is an American reality TV personality and yacht bosun best known for his recurring role on Bravo’s yachting series "Below Deck."
  • C. Eddie Laughton
    Eddie Laughton was a British-born American character actor best known for his supporting roles in numerous Columbia Pictures comedies, including several Three Stooges shorts, during the 1930s and 1940s.
  • D. Eddie Kendrick
    Eddie Kendrick was an American singer and co-founder of the Motown vocal group The Temptations, renowned for his distinctive falsetto voice.
  • E. Eddie Gill
    Eddie Gill is an American former professional basketball player and point guard who had stints in the NBA and overseas after a standout college career.
  • 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_69d81c664e48819088cbd8f433aeffe5 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de311814e48190adb637e1c97c0658 completed April 14, 2026, 12:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7d863ac819085bf5cd76cb2e8dd completed May 7, 2026, 8:36 p.m.
Created at: April 9, 2026, 10:20 p.m.