Triple

T21919704
Position Surface form Disambiguated ID Type / Status
Subject London Knights E541271 entity
Predicate foundedBy P104 FINISHED
Object Howard Darwin NE NERFINISHED

How this triple was built (3 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: Howard Darwin | Statement: [London Knights, foundedBy, Howard Darwin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howard Darwin
Context triple: [London Knights, foundedBy, Howard Darwin]
  • A. Howard Ellsworth Wood
    Howard Ellsworth "Smoky Joe" Wood was an American Major League Baseball pitcher and later outfielder, famed for his dominant fastball and standout seasons with the Boston Red Sox in the early 20th century.
  • B. Douglas Howard
    Douglas Howard was an English noblewoman of the 16th century, notable as the daughter of William Howard, 1st Baron Howard of Effingham, and for her connections to the Tudor court.
  • C. John Dolman
    John Dolman was an English clergyman and benefactor of the late 16th century best known for establishing Pocklington School in Yorkshire.
  • D. Howard Marner
    Howard Marner is a character in the science-fiction comedy film "Short Circuit," serving as one of the key figures involved with the experimental military robots central to the story.
  • E. Howard Vernon
    Howard Vernon was a Swiss-born character actor best known for his prolific work in European genre cinema, particularly in films by director Jesús Franco.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Howard Darwin
Target entity description: Howard Darwin was a Canadian sports promoter and businessman best known for his influential role in junior ice hockey, including helping establish the London Knights franchise.
  • A. Howard Ellsworth Wood
    Howard Ellsworth "Smoky Joe" Wood was an American Major League Baseball pitcher and later outfielder, famed for his dominant fastball and standout seasons with the Boston Red Sox in the early 20th century.
  • B. Douglas Howard
    Douglas Howard was an English noblewoman of the 16th century, notable as the daughter of William Howard, 1st Baron Howard of Effingham, and for her connections to the Tudor court.
  • C. John Dolman
    John Dolman was an English clergyman and benefactor of the late 16th century best known for establishing Pocklington School in Yorkshire.
  • D. Howard Marner
    Howard Marner is a character in the science-fiction comedy film "Short Circuit," serving as one of the key figures involved with the experimental military robots central to the story.
  • E. Howard Vernon
    Howard Vernon was a Swiss-born character actor best known for his prolific work in European genre cinema, particularly in films by director Jesús Franco.
  • F. None of above. chosen

Provenance (2 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_69e0c47c4b9c8190a5586a75f5f36453 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f12339d88881909e726c9b081bd177 completed April 28, 2026, 9:14 p.m.
Created at: April 16, 2026, 7:44 p.m.