Triple

T16730031
Position Surface form Disambiguated ID Type / Status
Subject Daniel Aaron E406562 entity
Predicate name P16 FINISHED
Object Daniel Aaron E406562 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: Daniel Aaron | Statement: [Daniel Aaron, name, Daniel Aaron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel Aaron
Context triple: [Daniel Aaron, name, Daniel Aaron]
  • A. Daniel Aaron
    Daniel Aaron was an American businessman best known as a co-founder and early executive leader of Comcast, one of the largest telecommunications and media companies in the world.
  • B. Daniel Aaron chosen
    Daniel Aaron was an American literary scholar and historian known for his pioneering work in American studies and the history of American literature.
  • C. Jeffrey Auerbach
    Jeffrey Auerbach is a film producer best known for his work on the stop-motion animated feature "Corpse Bride."
  • D. Jeffrey Goldberg
    Jeffrey Goldberg is an American journalist and author known for his long-form reporting on foreign policy and national security, and for serving as editor-in-chief of The Atlantic.
  • E. James Kantor
    James Kantor was a South African attorney who became notable for his controversial arrest and prosecution alongside anti-apartheid activists during the Rivonia Trial.
  • 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_69d8838f242881908abd8bc138795886 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3874ad5b481908199e4d99ac4225e completed April 18, 2026, 1:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d4a94688190aabe56c34e8cc2c3 completed May 10, 2026, 2:59 p.m.
Created at: April 10, 2026, 5:20 a.m.