Triple

T8953609
Position Surface form Disambiguated ID Type / Status
Subject John Noble E213417 entity
Predicate name P16 FINISHED
Object John Noble E213417 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 Noble | Statement: [John Noble, name, John Noble]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Noble
Context triple: [John Noble, name, John Noble]
  • A. John Noble chosen
    John Noble is an Australian actor best known for his roles in the television series "Fringe" and the "Lord of the Rings" film trilogy.
  • B. Michael Ramsey
    Michael Ramsey was the 100th Archbishop of Canterbury, a prominent 20th-century Anglican church leader and theologian known for his ecumenical work and spiritual writings.
  • C. Bob Gunton
    Bob Gunton is an American character actor best known for his portrayal of the strict prison warden Samuel Norton in the film "The Shawshank Redemption."
  • D. Bruce Greenwood
    Bruce Greenwood is a Canadian actor known for his versatile roles in film and television, including prominent performances in projects like "Star Trek," "Thirteen Days," and numerous acclaimed dramas.
  • E. Jeff Morrow
    Jeff Morrow was an American actor best known for his roles in mid-20th-century films and television, particularly in biblical epics and science fiction movies.
  • 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_69ca8399ad2081909f8fa41d4314c215 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc670f88d0819085d7308a5cf6c764 completed April 1, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd09e378c8190bb9f5d78a3b91fe7 completed April 3, 2026, 2:37 p.m.
Created at: March 30, 2026, 7 p.m.