Triple

T19301014
Position Surface form Disambiguated ID Type / Status
Subject Lena Horne E482693 entity
Predicate father P120 FINISHED
Object Edwin Horne 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: Edwin Horne | Statement: [Lena Horne, father, Edwin Horne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edwin Horne
Context triple: [Lena Horne, father, Edwin Horne]
  • A. Edwin Horne chosen
    Edwin Horne is an individual whose specific public background or notable achievements are not clearly documented in widely available sources.
  • B. Henry Sherwin
    Henry Sherwin was an American businessman best known as the co-founder of the Sherwin-Williams Company, a major paint and coatings manufacturer.
  • C. Ernest Poole
    Ernest Poole was an American novelist and journalist best known for his socially conscious fiction and as the inaugural recipient of the Pulitzer Prize for the Novel (now Fiction).
  • D. George Fayne
    George Fayne is a sporty, tomboyish friend and frequent sidekick of teen sleuth Nancy Drew in the long-running mystery book series.
  • E. Henry Pierce
    Henry Pierce is the protagonist of Michael Connelly’s thriller "Chasing the Dime," a driven research scientist whose life unravels after a mysterious phone number leads him into a dangerous investigation.
  • 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_69d8e8d04d5c8190baa816986f2b1d1e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fc8a2a5c8190bfe95e40d3c93a42 completed April 20, 2026, 10:14 a.m.
Created at: April 10, 2026, 1:31 p.m.