Triple

T2068742
Position Surface form Disambiguated ID Type / Status
Subject Roussel E45966 entity
Predicate hasAlternativeSpelling P457 FINISHED
Object Russell E6257 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: [Roussel, hasAlternativeSpelling, Russell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Russell
Context triple: [Roussel, hasAlternativeSpelling, Russell]
  • A. Russell chosen
    Russell is a common English surname most famously associated with legendary Boston Celtics basketball player and civil rights activist Bill Russell.
  • B. Whitehead
    Whitehead is a small coastal town in County Antrim, Northern Ireland, known for its Victorian architecture and seaside promenade.
  • C. Bertrand Russell
    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.
  • D. Francis Albert Rollo Russell
    Francis Albert Rollo Russell was a British meteorologist and scientific writer, known for his work on climate and atmospheric phenomena and as a member of the prominent Russell family.
  • E. Robert Tor Russell
    Robert Tor Russell was a British architect and town planner known for his prominent work in colonial-era New Delhi, India.
  • 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_69a8891b38288190abd572ccad9b6928 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9f51a008190aead0173a9289204 completed March 7, 2026, 5:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae2724f46c81909521ca75185ef5f1 completed March 9, 2026, 1:49 a.m.
Created at: March 4, 2026, 7:41 p.m.