Triple

T14485164
Position Surface form Disambiguated ID Type / Status
Subject Leo Colston E359208 entity
Predicate messengerFor P27590 FINISHED
Object Ted Burgess E349127 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: Ted Burgess | Statement: [Leo Colston, messengerFor, Ted Burgess]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ted Burgess
Context triple: [Leo Colston, messengerFor, Ted Burgess]
  • A. Ted Burgess chosen
    Ted Burgess is a central figure in L.P. Hartley’s novel "The Go-Between," known as a passionate farmer whose illicit romance drives the story’s tragic events.
  • B. Dan Bunting
    Dan Bunting is a video game developer best known for his leadership and design work on the Call of Duty series at Treyarch.
  • C. Ian Benton
    Ian Benton is a Scottish football executive best known for serving as chairman of Albion Rovers F.C.
  • D. Phil Gartside
    Phil Gartside was an English businessman best known for serving as chairman of Bolton Wanderers Football Club during its successful Premier League era.
  • E. Phil Bowler
    Phil Bowler is an American jazz bassist known for his work with prominent ensembles and contributions to contemporary jazz performance and recording.
  • 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_69d8279740308190af9df93a3af8592e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de924d7f4c8190b1f62b5ffe1ff649 completed April 14, 2026, 7:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd64a73cf48190811d6de182e891c4 completed May 8, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:20 a.m.