Triple

T15987100
Position Surface form Disambiguated ID Type / Status
Subject I Know a Lot of Things E387724 entity
Predicate author P4 FINISHED
Object Ann Rand E85389 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: Ann Rand | Statement: [I Know a Lot of Things, author, Ann Rand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ann Rand
Context triple: [I Know a Lot of Things, author, Ann Rand]
  • A. Ann Rand chosen
    Ann Rand was the wife of influential American graphic designer Paul Rand.
  • B. Ayn Rand
    Ayn Rand was a Russian-American novelist and philosopher best known for developing the philosophy of Objectivism and writing the influential novels "The Fountainhead" and "Atlas Shrugged."
  • C. Isabel Paterson
    Isabel Paterson was a Canadian-American novelist, literary critic, and influential libertarian thinker whose work, especially "The God of the Machine," helped shape early American individualist and free-market philosophy.
  • D. Leonard Read
    Leonard Read was an American libertarian writer and founder of the Foundation for Economic Education, best known for his influential essay "I, Pencil."
  • E. Margaret Mitchell
    Margaret Mitchell was an American novelist best known for writing the Pulitzer Prize–winning Civil War epic "Gone with the Wind."
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1575993948190a05d60fc9d0c05fa completed April 16, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbc8a8a081908ac1b431f524d650 completed May 10, 2026, 1:13 a.m.
Created at: April 10, 2026, 4:54 a.m.