Triple

T12672400
Position Surface form Disambiguated ID Type / Status
Subject Ghost of a Dog E302719 entity
Predicate producer P490 FINISHED
Object Tony Berg E836072 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: Tony Berg | Statement: [Ghost of a Dog, producer, Tony Berg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tony Berg
Context triple: [Ghost of a Dog, producer, Tony Berg]
  • A. Tony Berg chosen
    Tony Berg is an American record producer and A&R executive known for his work with a wide range of rock, pop, and alternative artists.
  • B. Tony Ressler
    Tony Ressler is an American billionaire private equity investor and co-founder of Apollo Global Management and Ares Management, who is also a principal owner of the NBA’s Atlanta Hawks.
  • C. Jerry Colonna
    Jerry Colonna was an American comedian, actor, and musician best known for his wild-eyed persona and frequent collaborations with Bob Hope in radio, film, and television.
  • D. Greg Amsinger
    Greg Amsinger is an American sportscaster best known as a studio host and anchor for MLB Network’s baseball coverage.
  • E. Danny Tamberelli
    Danny Tamberelli is an American actor, comedian, and musician best known for his childhood roles on Nickelodeon shows like The Adventures of Pete & Pete and All That.
  • 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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961ae493481908f82e0d05dce20bd completed April 10, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6689019988190ae3a3a52be45c83a completed May 2, 2026, 9:11 p.m.
Created at: April 9, 2026, 5:20 p.m.