Triple

T14577633
Position Surface form Disambiguated ID Type / Status
Subject Larry Kaplan E342096 entity
Predicate workedWith P398 FINISHED
Object Alan Miller E321829 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: Alan Miller | Statement: [Larry Kaplan, workedWith, Alan Miller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alan Miller
Context triple: [Larry Kaplan, workedWith, Alan Miller]
  • A. Alan Miller chosen
    Alan Miller is a pioneering video game designer and entrepreneur best known as one of the co-founders of Activision, the first independent console game developer and publisher.
  • B. Alan Miller
    Alan Miller is best known as the husband of British-American actress Anna Lee.
  • C. Richard Miller
    Richard Miller is a philosopher known for his contributions to political philosophy and ethics, particularly within the tradition of Analytical Marxism.
  • D. Denis Millner
    Denis Millner was a British engineer and early aviation pioneer known for his work on glider and aircraft design in the early 20th century.
  • E. John Miller
    John Miller was an American politician who became the inaugural governor of the U.S. state of North Dakota after its admission to the Union.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb3f5ec448190b2ef887fdf7b633e completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5c57fa4819086912bdd2bda8b80 completed May 8, 2026, 12:23 p.m.
Created at: April 10, 2026, 1:24 a.m.