Triple

T5911487
Position Surface form Disambiguated ID Type / Status
Subject ABA All-Star Game E131467 entity
Predicate notablePlayer P304 FINISHED
Object Mel Daniels E39095 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: Mel Daniels | Statement: [ABA All-Star Game, notablePlayer, Mel Daniels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mel Daniels
Context triple: [ABA All-Star Game, notablePlayer, Mel Daniels]
  • A. Mel Daniels chosen
    Mel Daniels was an American professional basketball center best known as a dominant force in the ABA, where he won multiple MVP awards and championships with the Indiana Pacers.
  • B. Bille Brown
    Bille Brown was an Australian actor and playwright known for his work in theatre, film, and television, including roles in international productions.
  • C. Bruce Daniels
    Bruce Daniels is a computer scientist and game developer best known for co-founding the pioneering interactive fiction company Infocom.
  • D. Ron Cain
    Ron Cain is a businessman best known for owning the Portland Pirates professional ice hockey team.
  • E. Max Dennison
    Max Dennison is the skeptical teenage protagonist of the Halloween-themed fantasy film "Hocus Pocus," whose actions accidentally resurrect three witches in Salem.
  • 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_69c008593a44819081a07ae0efe6c574 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c037b6f48c8190b60a32e5f64fe254 completed March 22, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c015b90081909777ac5ed80e927c completed March 23, 2026, 4:22 a.m.
Created at: March 22, 2026, 3:59 p.m.