Triple

T21526241
Position Surface form Disambiguated ID Type / Status
Subject David Ige E531103 entity
Predicate precededBy P97 FINISHED
Object Neil Abercrombie 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: Neil Abercrombie | Statement: [David Ige, precededBy, Neil Abercrombie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neil Abercrombie
Context triple: [David Ige, precededBy, Neil Abercrombie]
  • A. Neil Abercrombie chosen
    Neil Abercrombie is an American politician and member of the Democratic Party who served as the seventh governor of Hawaii and previously represented the state in the U.S. House of Representatives.
  • B. Roger Woodard
    Roger Woodard is a scholar best known for his work in classical studies and Indo-European linguistics, particularly on ancient Greek language and writing systems.
  • C. Justin E. Driscoll
    Justin E. Driscoll is an American energy executive who leads the New York Power Authority, the nation’s largest state-owned electric utility.
  • D. Sean F. Cox
    Sean F. Cox is an American federal judge who serves as the chief judge of the United States District Court for the Eastern District of Michigan.
  • E. John Donnelly
    John Donnelly is a British playwright and screenwriter known for his work in contemporary theatre and television, including the adaptation of the play "The Pass."
  • 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_69e0c45d95a081908e7962ad215da746 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee88515874819085e251c0d297a587 completed April 26, 2026, 9:49 p.m.
Created at: April 16, 2026, 6:26 p.m.