Triple

T23032883
Position Surface form Disambiguated ID Type / Status
Subject Grady Travis E573510 entity
Predicate hasComrade P2932 FINISHED
Object Norman Ellison 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: Norman Ellison | Statement: [Grady Travis, hasComrade, Norman Ellison]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norman Ellison
Context triple: [Grady Travis, hasComrade, Norman Ellison]
  • A. Norman Ellison chosen
    Norman Ellison is a young, inexperienced assistant driver and gunner in the World War II tank crew depicted in the 2014 war film "Fury."
  • B. Norman Bluhm
    Norman Bluhm was an American abstract expressionist painter known for his dynamic, gestural canvases that bridged action painting and lyrical abstraction.
  • C. Bill L. Norton
    Bill L. Norton is an American film and television director and screenwriter known for his work in the 1970s and 1980s, including projects in both feature films and popular TV series.
  • D. Norman Shields
    Norman Shields is the bumbling newspaper reporter portrayed by Norman Wisdom in the 1966 British comedy film "Press for Time."
  • E. Alan E. Nourse
    Alan E. Nourse was an American science fiction author and physician known for works that often explored medical and social themes, including the novel "The Bladerunner."
  • 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_69e245b911188190bc3d96326c847969 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18482e78c8190a89681eec2edb812 completed April 29, 2026, 4:09 a.m.
Created at: April 17, 2026, 3:53 p.m.