Triple

T9436364
Position Surface form Disambiguated ID Type / Status
Subject Jeremy Davies E227517 entity
Predicate name P16 FINISHED
Object Jeremy Davies E227517 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: Jeremy Davies | Statement: [Jeremy Davies, name, Jeremy Davies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeremy Davies
Context triple: [Jeremy Davies, name, Jeremy Davies]
  • A. Jeremy Davies chosen
    Jeremy Davies is an American actor best known for his intense, often eccentric performances in films and television series such as "Saving Private Ryan," "Spanking the Monkey," and "Justified."
  • B. Nigel Havers
    Nigel Havers is an English actor best known for his suave, upper-class roles in film and television, including his acclaimed performance in the Oscar-winning drama "Chariots of Fire."
  • C. Rupert Penry-Jones
    Rupert Penry-Jones is a British actor known for his roles in television dramas such as "Spooks" and "Silk," as well as various film and stage productions.
  • D. Sam Troughton
    Sam Troughton is a British actor known for his work in television, film, and theatre, including a prominent role in the BBC drama series "Robin Hood."
  • E. Ian Anthony Dale
    Ian Anthony Dale is an American actor best known for his roles in television series such as Hawaii Five-0, The Event, and Salvation.
  • 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_69ca8437a7ac81908651de48f2d2141d completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7ede1e148190b5793863a851c92c completed April 1, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1104ed8d081909acb08b13cf35555 completed April 4, 2026, 1:21 p.m.
Created at: March 30, 2026, 7:50 p.m.