Triple

T4441300
Position Surface form Disambiguated ID Type / Status
Subject Pumping Iron E95775 entity
Predicate musicBy P1952 FINISHED
Object Michael Small E226346 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 Small | Statement: [Pumping Iron, musicBy, Michael Small]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Small
Context triple: [Pumping Iron, musicBy, Michael Small]
  • A. Michael Small chosen
    Michael Small was an American film composer best known for his suspenseful and atmospheric scores for 1970s and 1980s thrillers.
  • B. Mike Little
    Mike Little is a British software developer best known as the co‑founder and original co-author of the WordPress content management system.
  • C. Eric McLeod
    Eric McLeod is a film producer known for his work on major Hollywood action and genre movies, including the monster crossover blockbuster "Godzilla vs. Kong."
  • D. Kevin Cossom
    Kevin Cossom is an American singer, songwriter, and record producer known for his R&B and hip-hop collaborations and songwriting for major artists.
  • E. Michael Leeson
    Michael Leeson was an American television writer and producer best known for co-creating the groundbreaking sitcom "The Cosby Show."
  • 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_69b3453ea2b48190a26f154b3b8fece5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355ad71588190b1dcad4250472c29 completed March 13, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6281264f08190942d2043495c89d5 completed March 15, 2026, 3:31 a.m.
Created at: March 12, 2026, 11:32 p.m.