Triple

T11143619
Position Surface form Disambiguated ID Type / Status
Subject Staines Bridge E263618 entity
Predicate designer P184 FINISHED
Object George Rennie E187181 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: George Rennie | Statement: [Staines Bridge, designer, George Rennie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Rennie
Context triple: [Staines Bridge, designer, George Rennie]
  • A. George Rennie chosen
    George Rennie was a 19th-century British sculptor and Liberal politician who served as a Member of Parliament and later as Governor of the Falkland Islands.
  • B. James Naughtie
    James Naughtie is a Scottish broadcaster and journalist best known as a long-serving presenter of BBC Radio 4’s flagship news programme, Today.
  • C. James McMillan
    James McMillan is a relatively obscure individual about whom only limited public information is available, making it difficult to identify a specific notable role or achievement.
  • D. William McInnes
    William McInnes is an Australian actor and writer known for his work in film and television, including prominent roles in series such as NCIS: Sydney.
  • E. Norman Macrae
    Norman Macrae was a British economist and journalist best known for his long career at The Economist and his influential, often prescient writings on future economic and technological trends.
  • 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8634d5481909b114d30a542ea3f completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69e623e44c188190b5b83cf8f397554c completed April 20, 2026, 1:02 p.m.
Created at: April 8, 2026, 9:28 p.m.