Triple

T32465
Position Surface form Disambiguated ID Type / Status
Subject Bertrand Russell E648 entity
Predicate familyName P18 FINISHED
Object Russell E648 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: Russell | Statement: [Bertrand Russell, familyName, Russell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Russell
Context triple: [Bertrand Russell, familyName, Russell]
  • A. Bertrand Russell chosen
    Bertrand Russell was a British philosopher, logician, and social critic, renowned for his foundational work in analytic philosophy and contributions to logic, mathematics, and political thought.
  • B. Winston
    Winston is the given name of Winston Churchill, the British statesman who led the United Kingdom during World War II and later served again as Prime Minister.
  • C. Richard Bolt
    Richard Bolt was an American acoustician and co-founder of the influential research and engineering firm Bolt Beranek and Newman, known for its pioneering work in acoustics and computer networking.
  • D. Herbert
    Herbert is a masculine given name of Germanic origin that has been borne by various notable figures, including U.S. President Herbert Hoover.
  • E. Porter
    Porter is a transit station in Cambridge, Massachusetts that serves both MBTA commuter rail and Red Line subway services.
  • 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_69a2479dec388190967ba648663442c9 completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a2487838f881908ab8eda6c6ae53e4 completed Feb. 28, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69a24e5ec6308190ad27b8b28b3f59d2 completed Feb. 28, 2026, 2:09 a.m.
Created at: Feb. 28, 2026, 1:44 a.m.