Triple

T13904363
Position Surface form Disambiguated ID Type / Status
Subject Daniels College of Business E334306 entity
Predicate namedAfter P63 FINISHED
Object Bill Daniels E474048 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: Bill Daniels | Statement: [Daniels College of Business, namedAfter, Bill Daniels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bill Daniels
Context triple: [Daniels College of Business, namedAfter, Bill Daniels]
  • A. Bill Daniels chosen
    Bill Daniels was an American cable television pioneer, entrepreneur, and philanthropist who became a prominent owner and supporter of professional basketball teams.
  • B. Billy Daniels
    Billy Daniels was an American singer and entertainer best known for his dynamic nightclub performances and popular recordings in the mid-20th century.
  • C. Tedd Munchak
    Tedd Munchak was an American businessman best known for owning the Carolina Cougars franchise in the former American Basketball Association.
  • D. Larry Daley
    Larry Daley is the bumbling yet good-hearted night guard protagonist of the "Night at the Museum" film series, known for dealing with museum exhibits that magically come to life.
  • E. Mark Lonow
    Mark Lonow is an American actor and comedian known for his work in film, television, and stand-up, as well as for co-owning the iconic Los Angeles comedy club The Improv.
  • 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_69d81c5eaa9c819083b1ff8689179565 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de25db1e308190aaed6a21e443cc44 completed April 14, 2026, 11:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce7638a88190aae1b59c00ee27ce completed May 3, 2026, 10:38 p.m.
Created at: April 9, 2026, 10:16 p.m.