Triple

T21391308
Position Surface form Disambiguated ID Type / Status
Subject Joseph Winters E527655 entity
Predicate name P16 FINISHED
Object Joseph Winters 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: Joseph Winters | Statement: [Joseph Winters, name, Joseph Winters]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joseph Winters
Context triple: [Joseph Winters, name, Joseph Winters]
  • A. Joseph Winters chosen
    Joseph Winters is a fictional character from the 2012 ensemble drama-comedy film "Darling Companion," which centers on family relationships and the search for a lost dog.
  • B. Robert Winters
    Robert Winters was a Canadian Liberal politician and cabinet minister who was a prominent contender for the party leadership in the 1960s.
  • C. Russell Winters
    Russell Winters is a fictional character from the 2012 ensemble comedy-drama film "Darling Companion," which centers on family relationships and the search for a lost dog.
  • D. Thomas Winter
    Thomas Winter, also known as Thomas Wintour, was an English conspirator best known as one of the key plotters in the 1605 Gunpowder Plot to assassinate King James I and blow up the Houses of Parliament.
  • E. Les Weldon
    Les Weldon is a film producer known for working on action and adventure movies, including big-budget Hollywood projects.
  • 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_69e0b51ff3748190935c0a513c62a12b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b113690c81909c0a378fddba5d3a completed April 22, 2026, 11:29 a.m.
Created at: April 16, 2026, 5:13 p.m.