Triple

T16048192
Position Surface form Disambiguated ID Type / Status
Subject Richard Franklin E389278 entity
Predicate name P16 FINISHED
Object Richard Franklin E1158484 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: Richard Franklin | Statement: [Richard Franklin, name, Richard Franklin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richard Franklin
Context triple: [Richard Franklin, name, Richard Franklin]
  • A. Richard Franklin
    Richard Franklin was a British actor best known for playing Captain Mike Yates in the classic science fiction television series Doctor Who.
  • B. Richard Franklin chosen
    Richard Franklin was an Australian film and television director best known for his work in the thriller and horror genres, including films like "Roadgames" and "Psycho II."
  • C. Dean Franklin
    Dean Franklin is a screenwriter best known for his work on the classic World War I film "The Fighting 69th."
  • D. Scott Franklin
    Scott Franklin is an American film producer known for his frequent collaborations with director Darren Aronofsky on acclaimed movies such as Black Swan and The Wrestler.
  • E. Richard Edmonds
    Richard Edmonds was a prominent British far-right political activist known for his leadership roles in extremist nationalist organizations.
  • 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e18360464881909fd4d3bcb4ffb7f5 completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbddc25481908fca660c4f14eaff completed May 10, 2026, 1:14 a.m.
Created at: April 10, 2026, 4:56 a.m.