Triple

T22713208
Position Surface form Disambiguated ID Type / Status
Subject Screamers E561655 entity
Predicate producer P490 FINISHED
Object Tom Berry NE NERFINISHED

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: Tom Berry | Statement: [Screamers, producer, Tom Berry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Berry
Context triple: [Screamers, producer, Tom Berry]
  • A. Tom Berry chosen
    Tom Berry is a film producer known for his work on various movies and television projects, including the 1997 film "Trucks."
  • B. Jim Tomlinson
    Jim Tomlinson is a British jazz saxophonist, composer, and producer known for his long-standing musical collaboration with vocalist Stacey Kent.
  • C. David Gill
    David Gill was a British television producer and film historian best known for his acclaimed documentaries on cinema history, including collaborations with Kevin Brownlow.
  • D. David Gill
    David Gill was a prominent Scottish astronomer of the late 19th and early 20th centuries, renowned for his pioneering work in astrometry and for serving as Her Majesty's Astronomer at the Cape of Good Hope.
  • E. John Kirwan
    John Kirwan is a former New Zealand rugby union wing renowned as one of the sport’s great finishers and a key star of the dominant All Blacks teams of the late 1980s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2454f1348819088d83f420925a5c1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1790ab6208190a342f076002324ab completed April 29, 2026, 3:20 a.m.
Created at: April 17, 2026, 3:18 p.m.