Triple

T2495794
Position Surface form Disambiguated ID Type / Status
Subject Toys for Bob E52149 entity
Predicate hasFounder P104 FINISHED
Object Fred Ford E273689 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: Fred Ford | Statement: [Toys for Bob, hasFounder, Fred Ford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fred Ford
Context triple: [Toys for Bob, hasFounder, Fred Ford]
  • A. Fred Ford chosen
    Fred Ford is a video game designer and programmer best known as the co-creator of the Star Control series and co-founder of the game development studio Toys for Bob.
  • B. Fred Williamson
    Fred Williamson is an American actor and former professional football player best known for his roles in 1970s blaxploitation films and numerous action and genre movies.
  • C. Jack Ford
    Jack Ford is the nickname of John Ford, the legendary American film director renowned for his influential Westerns and multiple Academy Awards.
  • D. Roy Farrell
    Roy Farrell was an American entrepreneur and aviation pioneer best known for co-founding the Hong Kong-based airline Cathay Pacific in the mid-20th century.
  • 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_69ab4955111c8190835bf619adec21ff completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1abd3688190b5874249e1e333bc completed March 7, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69af2b8789c88190b0300af1260eb9bd completed March 9, 2026, 8:20 p.m.
Created at: March 6, 2026, 9:45 p.m.