Triple

T7555573
Position Surface form Disambiguated ID Type / Status
Subject Damon Stoudamire E178656 entity
Predicate collegeTeammateOf P44240 FINISHED
Object Mike Bibby E243555 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: Mike Bibby | Statement: [Damon Stoudamire, collegeTeammateOf, Mike Bibby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mike Bibby
Context triple: [Damon Stoudamire, collegeTeammateOf, Mike Bibby]
  • A. Mike Bibby chosen
    Mike Bibby is a former American NBA point guard best known for his key role with the Sacramento Kings in the early 2000s and his standout college career at the University of Arizona.
  • B. Steven Fulop
    Steven Fulop is an American politician who has served as the mayor of Jersey City, New Jersey, and is known for his focus on urban development and progressive local policies.
  • C. Scott Chestnut
    Scott Chestnut is a film editor best known for his work on the World War II drama "The Great Raid."
  • D. Simon Dermott
    Simon Dermott is the charming, clever art expert and thief portrayed by Peter O’Toole in the 1966 heist comedy film "How to Steal a Million."
  • E. Joe Bomowski
    Joe Bomowski is a fictional tough-but-comedic police sergeant portrayed by Sylvester Stallone in the 1992 action-comedy film "Stop! Or My Mom Will Shoot."
  • 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_69c69f2da22c8190a50942ac20af70e8 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8d82dd481908351876edc70c4ec completed March 27, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856c20258819081761699228b8ba3 completed March 28, 2026, 10:31 p.m.
Created at: March 27, 2026, 3:49 p.m.