Triple

T3988674
Position Surface form Disambiguated ID Type / Status
Subject Highlander E86934 entity
Predicate editedBy P1954 FINISHED
Object Peter Honess E217891 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: Peter Honess | Statement: [Highlander, editedBy, Peter Honess]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Honess
Context triple: [Highlander, editedBy, Peter Honess]
  • A. Peter Honess chosen
    Peter Honess is a British film editor best known for his work on major Hollywood films, including the acclaimed neo-noir crime drama "L.A. Confidential."
  • B. Robert Hohman
    Robert Hohman is an American entrepreneur best known as the co-founder and former CEO of Glassdoor, a popular platform for anonymous employee reviews and salary information.
  • C. Joseph Weishaar
    Joseph Weishaar is an American architect and designer best known for winning the competition to create the National World War I Memorial in Washington, D.C.
  • D. Anthony Kilhoffer
    Anthony Kilhoffer is a Grammy-winning American record producer and audio engineer known for his extensive work with artists like Kanye West and other major hip-hop and pop acts.
  • E. H. Peter Hofstee
    H. Peter Hofstee is a computer engineer and microprocessor architect best known for his work on advanced processor designs, including contributions at Transmeta and IBM.
  • 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_69aed93fd9d4819085d3b2137d2346cb completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa007344819099515fda367f7016 completed March 9, 2026, 4:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c4d0f348190841fe13bff0fef00 completed March 14, 2026, 11:53 a.m.
Created at: March 9, 2026, 3:33 p.m.