Triple

T4101194
Position Surface form Disambiguated ID Type / Status
Subject Lawless E87943 entity
Predicate producer P490 FINISHED
Object Douglas Wick E263616 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: Douglas Wick | Statement: [Lawless, producer, Douglas Wick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Douglas Wick
Context triple: [Lawless, producer, Douglas Wick]
  • A. Douglas Wick chosen
    Douglas Wick is an American film producer known for acclaimed movies such as "Gladiator," "Working Girl," and "Memoirs of a Geisha."
  • B. Douglas Camfield
    Douglas Camfield was a British television director best known for his work on numerous classic Doctor Who serials and other BBC dramas during the 1960s and 1970s.
  • C. R. Douglas Wright
    R. Douglas Wright is a distinguished American trombonist and educator known for his prominent orchestral and conservatory teaching roles.
  • D. Dennis Awtrey
    Dennis Awtrey is a former American professional basketball center known for his defensive play and role as a key contributor on several NBA teams during the 1970s and early 1980s.
  • E. Douglas Kirk
    Douglas Kirk is an individual notable enough to be recognized as a prominent bearer of the surname Kirk.
  • 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_69aed94564cc8190a9c1457daedb6e7f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefd0ed168819093c83ba079d6725c completed March 9, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf10a00c5c819090fa26ce068033b6 completed March 21, 2026, 9:41 p.m.
Created at: March 9, 2026, 3:40 p.m.