Triple

T6464981
Position Surface form Disambiguated ID Type / Status
Subject Colonel Charles "Chappy" Sinclair E142210 entity
Predicate mentors P36354 FINISHED
Object Doug Masters E594239 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: Doug Masters | Statement: [Colonel Charles "Chappy" Sinclair, mentors, Doug Masters]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doug Masters
Context triple: [Colonel Charles "Chappy" Sinclair, mentors, Doug Masters]
  • A. Doug Masters chosen
    Doug Masters is the teenage fighter-pilot protagonist of the 1986 action film "Iron Eagle," known for his daring mission to rescue his father using a stolen F-16.
  • B. Steven Masters
    Steven Masters is a video game designer best known for his work on the action-adventure title Assassin's Creed III.
  • C. Dan Talbot
    Dan Talbot was an influential American film distributor and exhibitor known for championing foreign and independent cinema in the United States.
  • D. David Denman
    David Denman is an American actor best known for his role as Roy Anderson on the U.S. version of "The Office" and for supporting performances in films and television series across comedy and drama.
  • E. David Loughery
    David Loughery is an American screenwriter and producer known for writing thrillers and genre films such as "Passenger 57," "Lakeview Terrace," and "Obsessed."
  • 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_69c008d3bf4c8190bcf798c5ba9d6fb3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06a10305081909521ee200cf70a30 completed March 22, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6539a16648190ba5146a292d61ce7 completed March 27, 2026, 9:53 a.m.
Created at: March 22, 2026, 4:49 p.m.