Triple

T13495786
Position Surface form Disambiguated ID Type / Status
Subject Mechanical Animals E320759 entity
Predicate producer P490 FINISHED
Object Michael Beinhorn E170934 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: Michael Beinhorn | Statement: [Mechanical Animals, producer, Michael Beinhorn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Beinhorn
Context triple: [Mechanical Animals, producer, Michael Beinhorn]
  • A. Michael Beinhorn chosen
    Michael Beinhorn is an American record producer known for his work on influential rock and alternative albums by artists such as Soundgarden, Red Hot Chili Peppers, and Marilyn Manson.
  • B. Mick Gordon
    Mick Gordon is an Australian composer and sound designer best known for his heavy, industrial-style scores for video games such as Doom, Wolfenstein, and Prey.
  • C. Jack Douglas
    Jack Douglas is an American record producer best known for his extensive work with Aerosmith and other major rock acts in the 1970s and beyond.
  • D. Ed O’Brien
    Ed O’Brien is an English guitarist and backing vocalist best known as a member of the alternative rock band Radiohead.
  • E. Don Mischer
    Don Mischer is an American television producer and director renowned for staging major live events and award shows, including multiple Academy Awards broadcasts.
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf4da2c88190a867b53529d39545 completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76ba566c48190808857dd0bc3a871 completed May 3, 2026, 3:37 p.m.
Created at: April 9, 2026, 9:43 p.m.