Triple

T19637530
Position Surface form Disambiguated ID Type / Status
Subject Mad Max 2 E471437 entity
Predicate editedBy P1954 FINISHED
Object Michael Balson 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: Michael Balson | Statement: [Mad Max 2, editedBy, Michael Balson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Balson
Context triple: [Mad Max 2, editedBy, Michael Balson]
  • A. Michael Balson chosen
    Michael Balson is a film editor best known for his work on the post-apocalyptic action movie "Mad Max Beyond Thunderdome."
  • B. Michael William Balfe
    Michael William Balfe was a 19th-century Irish composer, best known for his popular operas such as "The Bohemian Girl."
  • C. Ray Deakin
    Ray Deakin was an English professional footballer, best known as a tough-tackling defender whose performances earned him recognition in the Bolton Wanderers Hall of Fame.
  • D. Richard Balfe
    Richard Balfe is a British politician and former Member of the European Parliament who notably switched from the Labour Party to the Conservative Party during his career.
  • E. Michael Barrie
    Michael Barrie is a screenwriter best known for co-writing the action-comedy film "Bad Boys."
  • 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_69d8e511f28481909f4bc3ea9191e54a completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e64107f3fc8190ace6ae67287d280c completed April 20, 2026, 3:06 p.m.
Created at: April 10, 2026, 1:44 p.m.