Triple

T4559740
Position Surface form Disambiguated ID Type / Status
Subject The Company Men E120563 entity
Predicate editedBy P1954 FINISHED
Object Robert Frazen E180381 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: Robert Frazen | Statement: [The Company Men, editedBy, Robert Frazen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Frazen
Context triple: [The Company Men, editedBy, Robert Frazen]
  • A. Robert Frazen chosen
    Robert Frazen is a film editor known for his work on movies such as "Smokin' Aces."
  • B. Bruce Fraser
    Bruce Fraser was a senior British Royal Navy admiral who played a key role in Allied naval operations during World War II and represented the United Kingdom at the formal Japanese Instrument of Surrender.
  • C. Curt Fraser
    Curt Fraser is a Canadian former professional ice hockey player and coach best known as the first head coach in Atlanta Thrashers franchise history.
  • D. Ian Meakins
    Ian Meakins is a British business executive known for leading major multinational companies, including serving as chairman of Unilever.
  • E. Peter Mathieson
    Peter Mathieson is a British nephrologist and academic leader who has served as principal and vice-chancellor of major universities, including the University of Edinburgh and the University of Hong Kong.
  • 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_69bd4636f1648190a701445c2fcd9c17 completed March 20, 2026, 1:05 p.m.
NER Named-entity recognition batch_69bd582b871c8190be0b70c76d639000 completed March 20, 2026, 2:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdc593eaf881908a9043366230b391 completed March 20, 2026, 10:09 p.m.
Created at: March 20, 2026, 1:09 p.m.