Triple

T19215350
Position Surface form Disambiguated ID Type / Status
Subject Alexander Smith E480466 entity
Predicate usedName P2937 FINISHED
Object Alexander Smith NE NERFINISHED

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: Alexander Smith | Statement: [Alexander Smith, usedName, Alexander Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexander Smith
Context triple: [Alexander Smith, usedName, Alexander Smith]
  • A. Alexander Smith chosen
    Alexander Smith was the alias of John Adams, the last surviving Bounty mutineer who became a leader of the Pitcairn Island community.
  • B. James Smith
    James Smith was a film editor active in early American cinema, known for his work on the 1920 silent drama "Pollyanna."
  • C. James Smith
    James Smith was a notable Scottish architect active in the late 17th and early 18th centuries, recognized for designing prominent ecclesiastical and civic buildings.
  • D. James Smith
    James Smith is an editor known for his work on the publication Border Flight.
  • E. James Smith
    James Smith is a British actor best known for his comedic role as government adviser Glenn Cullen in the political satire series "The Thick of It."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8cb8c348190b52075823911c869 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fa3a417c819083e2e276d44d4d89 completed April 20, 2026, 10:04 a.m.
Created at: April 10, 2026, 1:22 p.m.