Triple

T9318561
Position Surface form Disambiguated ID Type / Status
Subject John Payne E224185 entity
Predicate name P16 FINISHED
Object John Payne E224185 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: John Payne | Statement: [John Payne, name, John Payne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Payne
Context triple: [John Payne, name, John Payne]
  • A. John Payne chosen
    John Payne was an American film and television actor best known for his leading roles in 1940s and 1950s Hollywood movies, including the classic Christmas film "Miracle on 34th Street."
  • B. John Payne
    John Payne was an American planter and the father of Dolley Madison, who became First Lady of the United States as the wife of President James Madison.
  • C. Jerry Payne
    Jerry Payne is the introspective college student protagonist of the novel and film "The Sterile Cuckoo," whose relationship with the eccentric Pookie Adams drives the story’s emotional core.
  • D. Louis Payne
    Louis Payne was an American actor known for his roles in early 20th-century silent films.
  • E. Frank Troup
    Frank Troup was an English cricketer who played first-class cricket in the early 20th century.
  • 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_69ca8426d48481909596360f7791c7dd completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd358b66148190a918c107490c8406 completed April 1, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0c7c1fc848190bbb3ef6a1ed7a7d2 completed April 4, 2026, 8:11 a.m.
Created at: March 30, 2026, 7:38 p.m.