Triple

T22803242
Position Surface form Disambiguated ID Type / Status
Subject Hangman’s Knot E564459 entity
Predicate hasCastMember P2308 FINISHED
Object Raymond Greenleaf 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 Greenleaf | Statement: [Hangman’s Knot, hasCastMember, Raymond Greenleaf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raymond Greenleaf
Context triple: [Hangman’s Knot, hasCastMember, Raymond Greenleaf]
  • A. Raymond Greenleaf chosen
    Raymond Greenleaf was an American character actor known for his supporting roles in mid-20th-century films and television.
  • B. Christopher Greenup
    Christopher Greenup was an early American politician who served as the third governor of Kentucky in the early 19th century.
  • C. John Greenfield
    John Greenfield was an individual significant enough in local or regional history that the city of Greenfield, California, was named in his honor.
  • D. Mr. Greenleaf
    Mr. Greenleaf is a fictional character best known as the wealthy, status-conscious father of Dickie Greenleaf in Patricia Highsmith’s Tom Ripley novels and their film adaptations.
  • E. Raymond Steadman
    Raymond Steadman is a person notable enough to be specifically identified as a bearer of the surname Steadman.
  • 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_69e245823f4c8190ade442cdcc2c224a completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17cdf1e308190a05d0f61856be544 completed April 29, 2026, 3:37 a.m.
Created at: April 17, 2026, 3:31 p.m.