Triple

T19627821
Position Surface form Disambiguated ID Type / Status
Subject 3000 Miles to Graceland E471183 entity
Predicate editedBy P1954 FINISHED
Object Michael J. Duthie 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 J. Duthie | Statement: [3000 Miles to Graceland, editedBy, Michael J. Duthie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael J. Duthie
Context triple: [3000 Miles to Graceland, editedBy, Michael J. Duthie]
  • A. Michael J. Duthie chosen
    Michael J. Duthie is a publishing professional best known for serving as an editor of the periodical The Outpost.
  • B. Michael P. Heeney
    Michael P. Heeney is an American country music songwriter known for penning hits for major artists, including co-writing Eric Church’s popular single "Drink in My Hand."
  • C. Brian G. Hutton
    Brian G. Hutton was an American film director and actor best known for helming popular war and action films in the late 1960s and early 1970s.
  • D. Michael Dugdale
    Michael Dugdale is a central character in the British conspiracy thriller series "Utopia," depicted as a morally conflicted civil servant entangled in a vast and sinister global plot.
  • E. Michael A. Ainslie
    Michael A. Ainslie is a distinguished acoustician recognized for his significant contributions to the field, particularly in underwater and physical acoustics.
  • 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_69e641007e5881908da78e50aa36f340 completed April 20, 2026, 3:06 p.m.
Created at: April 10, 2026, 1:44 p.m.