Triple

T1440746
Position Surface form Disambiguated ID Type / Status
Subject Lobos E31063 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: [Lobos, notablePlayer, Mel Daniels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mel Daniels
Context triple: [Lobos, 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. Ron Cain
    Ron Cain is a businessman best known for owning the Portland Pirates professional ice hockey team.
  • C. Gerald Donaghey
    Gerald Donaghey was a young Irish civil rights protester who was shot and killed by British soldiers during the 1972 Bloody Sunday events in Derry, becoming one of the most controversial victims of the massacre.
  • D. Don Simpson
    Don Simpson was a prominent Hollywood film producer known for co-producing blockbuster action films such as "Top Gun," "Beverly Hills Cop," and "Bad Boys."
  • E. Scott Franklin
    Scott Franklin is an American film producer known for his frequent collaborations with director Darren Aronofsky on acclaimed movies such as Black Swan and The Wrestler.
  • 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_69a4991633388190a4d61b5a98aa407a completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c5307e988190b392f1f1d1ac10f0 completed March 1, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad58b0be2c8190993a5b4592acf7d2 completed March 8, 2026, 11:08 a.m.
Created at: March 1, 2026, 8 p.m.