Triple

T14327932
Position Surface form Disambiguated ID Type / Status
Subject Jonah Ryan E355259 entity
Predicate hasConflictWith P4897 FINISHED
Object Mike McLintock E437426 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: Mike McLintock | Statement: [Jonah Ryan, hasConflictWith, Mike McLintock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mike McLintock
Context triple: [Jonah Ryan, hasConflictWith, Mike McLintock]
  • A. Mike McLintock chosen
    Mike McLintock is a bumbling yet loyal communications director and longtime staffer to politician Selina Meyer on the television series "Veep."
  • B. Ray Cusick
    Ray Cusick was a British designer best known for creating the iconic look of the Daleks in the long-running science fiction television series Doctor Who.
  • C. Ray McKinnon
    Ray McKinnon is an American actor, writer, producer, and director known for his character roles in film and television and for creating the acclaimed series "Rectify."
  • D. Mike McNeil
    Mike McNeil is a software developer best known as the creator of the Sails.js Node.js web framework.
  • E. Roy McFarland
    Roy McFarland is a former English central defender best known for his key role in Derby County’s successful teams of the late 1960s and 1970s and for earning numerous caps for the England national team.
  • 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_69d8278fa2108190bc0d0e7939c1eb03 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8c1c3e70819084b6728ac5c18561 completed April 14, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff36455f788190a63507ecda42b04c completed May 9, 2026, 1:27 p.m.
Created at: April 10, 2026, 1:13 a.m.