Triple

T14028492
Position Surface form Disambiguated ID Type / Status
Subject Harry Sinden E337525 entity
Predicate name P16 FINISHED
Object Harry Sinden E337525 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: Harry Sinden | Statement: [Harry Sinden, name, Harry Sinden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harry Sinden
Context triple: [Harry Sinden, name, Harry Sinden]
  • A. Harry Sinden chosen
    Harry Sinden is a Canadian ice hockey coach and executive best known for leading Team Canada in the 1972 Summit Series and for his long tenure with the Boston Bruins.
  • B. Alastair Siddons
    Alastair Siddons is a British screenwriter and filmmaker known for co-writing the 2018 reboot of "Tomb Raider" and directing documentary and independent film projects.
  • C. Donald Sinden
    Donald Sinden was a distinguished English actor known for his work in film, theatre, and television, particularly from the mid-20th century onward.
  • D. Hugh Murray
    Hugh Murray is a relatively common personal name shared by several notable individuals across fields such as sports, academia, and public service.
  • E. Ronald Kinnoch
    Ronald Kinnoch was a British film producer best known for his work on mid-20th-century genre films, including influential science fiction and horror titles.
  • 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_69d81c6543a48190bd5ba93d7419e797 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2fa830ac81908cb7df7c9e81e42a completed April 14, 2026, 12:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6476c15881909881b9f85697a9b2 completed May 8, 2026, 4:20 a.m.
Created at: April 9, 2026, 10:20 p.m.