Triple

T21039753
Position Surface form Disambiguated ID Type / Status
Subject Senator John Iselin E518288 entity
Predicate antagonistOf P18963 FINISHED
Object Raymond Shaw 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: Raymond Shaw | Statement: [Senator John Iselin, antagonistOf, Raymond Shaw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raymond Shaw
Context triple: [Senator John Iselin, antagonistOf, Raymond Shaw]
  • A. Raymond Shaw chosen
    Raymond Shaw is the brainwashed Korean War veteran and Medal of Honor recipient whose programmed assassination role drives the political thriller plot of "The Manchurian Candidate."
  • B. George Fayne
    George Fayne is a sporty, tomboyish friend and frequent sidekick of teen sleuth Nancy Drew in the long-running mystery book series.
  • C. Michael Shayne
    Michael Shayne is a hardboiled fictional private detective known from mid-20th-century American crime novels and their film and radio adaptations.
  • D. Raymond Chambers
    Raymond Chambers is an American philanthropist and businessman known for his work in global health initiatives and efforts to combat malaria.
  • E. Norman Reilly Raine
    Norman Reilly Raine was an American screenwriter and playwright best known for his Academy Award-winning work on classic Hollywood films such as the 1938 adventure epic "The Adventures of Robin Hood."
  • 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_69e0b50438e08190917e2538bb8bc034 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fceed9148190903adb3b55f65242 completed April 21, 2026, 4:28 a.m.
Created at: April 16, 2026, 2:14 p.m.