Triple

T10466964
Position Surface form Disambiguated ID Type / Status
Subject Matthew Pinsent E246822 entity
Predicate partnerInSport P34923 FINISHED
Object Ed Coode E247741 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: Ed Coode | Statement: [Matthew Pinsent, partnerInSport, Ed Coode]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ed Coode
Context triple: [Matthew Pinsent, partnerInSport, Ed Coode]
  • A. Ed Coode chosen
    Ed Coode is a British rower best known for winning Olympic gold in the men's coxless four at the 2004 Athens Games.
  • B. Allan Moyle
    Allan Moyle is a Canadian film director and screenwriter best known for his cult-favorite youth and counterculture dramas, including the 1990 film "Pump Up the Volume."
  • C. Tony Coates
    Tony Coates is a musician best known as a member of the British beat group The Merseybeats, part of the 1960s Merseybeat scene.
  • D. Kevin Sheedy
    Kevin Sheedy is a legendary Australian rules football figure, best known as a long-serving and innovative Essendon coach who helped popularize marquee events and modernize the game.
  • E. Sacha Gervasi
    Sacha Gervasi is a British screenwriter and director known for films such as "The Terminal" and the documentary "Anvil! The Story of Anvil."
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5092e3230819098ab444f73c9bd40 completed April 7, 2026, 1:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69d89fe6129881908c658ff977e68135 completed April 10, 2026, 6:59 a.m.
Created at: April 6, 2026, 12:19 p.m.