Triple

T9411060
Position Surface form Disambiguated ID Type / Status
Subject Slimbridge Wetland Centre E226706 entity
Predicate foundedBy P104 FINISHED
Object Peter Scott E110332 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: Peter Scott | Statement: [Slimbridge Wetland Centre, foundedBy, Peter Scott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Scott
Context triple: [Slimbridge Wetland Centre, foundedBy, Peter Scott]
  • A. Peter Scott chosen
    Peter Scott was a British conservationist, ornithologist, and painter who played a key role in global wildlife preservation efforts and co-founded the World Wildlife Fund.
  • B. Peter Milne
    Peter Milne was a screenwriter known for his work on classic Hollywood films, including the legal drama "The Verdict."
  • C. Peter Buckley
    Peter Buckley is a relatively obscure individual whose name is notably associated with the surname Buckley but who does not have widely recognized public prominence.
  • D. Peter MacGregor-Scott
    Peter MacGregor-Scott was a British film and television producer best known for his work on major Hollywood action and franchise films in the 1980s and 1990s.
  • E. Cecil Brown
    Cecil Brown is a name shared by several notable individuals, including an American novelist and academic, a World War II war correspondent, and a British politician.
  • 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_69ca843280488190bc65600e843ef9e6 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd525785d48190a76c9940712e093a completed April 1, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d107ab67808190a9184c0e8c2e727f completed April 4, 2026, 12:44 p.m.
Created at: March 30, 2026, 7:47 p.m.