Triple

T11447133
Position Surface form Disambiguated ID Type / Status
Subject Lenny Cooke E271293 entity
Predicate featuresAppearance P80690 FINISHED
Object Carmelo Anthony E11248 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: Carmelo Anthony | Statement: [Lenny Cooke, featuresAppearance, Carmelo Anthony]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carmelo Anthony
Context triple: [Lenny Cooke, featuresAppearance, Carmelo Anthony]
  • A. Carmelo Anthony chosen
    Carmelo Anthony is an American professional basketball player and prolific scorer who became one of the NBA’s premier forwards in the 2000s and 2010s.
  • B. Cole Anthony
    Cole Anthony is an American professional basketball player and dynamic scoring point guard in the NBA.
  • C. Deron Williams
    Deron Williams is a former NBA All-Star point guard best known for his prime years leading the Utah Jazz and later playing for the Brooklyn Nets.
  • D. Alec Burks
    Alec Burks is an American professional basketball guard known for his scoring ability and versatility in the NBA.
  • E. Amar'e Stoudemire
    Amar'e Stoudemire is a former NBA All-Star power forward/center known for his explosive athleticism, dominant scoring, and key role in the league’s fast-paced, pick-and-roll era of the 2000s.
  • 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_69d6aadff8888190a13f253f0d460874 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d81c6d4890819082fb4a670feb2629 completed April 9, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d3bdafb08190aadf5d63facfedaf completed April 20, 2026, 7:20 a.m.
Created at: April 8, 2026, 9:35 p.m.