Triple

T14751053
Position Surface form Disambiguated ID Type / Status
Subject Jim Burns E346605 entity
Predicate name P16 FINISHED
Object Jim Burns E346605 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: Jim Burns | Statement: [Jim Burns, name, Jim Burns]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jim Burns
Context triple: [Jim Burns, name, Jim Burns]
  • A. Jim Burns chosen
    Jim Burns is a British science fiction and fantasy illustrator renowned for his detailed, atmospheric book cover art.
  • B. Jim Burns
    Jim Burns is a central character in the film "Pieces of April," portrayed as the estranged, terminally ill father whose visit to his daughter's Thanksgiving gathering drives much of the movie's emotional tension and reconciliation.
  • C. Michael Loren Mauldin
    Michael Loren Mauldin is an American computer scientist and entrepreneur best known as the creator of the Lycos web search engine.
  • D. Michael Mauldin
    Michael Mauldin is an American music executive and talent manager known for his influential role in the development of contemporary R&B and hip-hop artists.
  • E. Keith Barish
    Keith Barish is an American film producer and financier known for founding Keith Barish Productions and co-founding the Planet Hollywood restaurant chain.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7d40efc8190bb1be34c19a2b57c completed April 14, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb9a56a08190b6a178cd930a072d completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:30 a.m.