Triple

T14240677
Position Surface form Disambiguated ID Type / Status
Subject Francis Dayle Hearn E352994 entity
Predicate familyName P18 FINISHED
Object Hearn E961469 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: Hearn | Statement: [Francis Dayle Hearn, familyName, Hearn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hearn
Context triple: [Francis Dayle Hearn, familyName, Hearn]
  • A. Hearn chosen
    Hearn is a surname of English and Irish origin borne by various notable individuals across fields such as sports, entertainment, and literature.
  • B. Heyl
    Heyl is the middle name of John Heyl Vincent, an American Methodist bishop and co-founder of the Chautauqua Institution.
  • C. Haren
    Haren is a district in the northern part of Brussels, Belgium, known for its mix of residential areas, industrial zones, and transport infrastructure.
  • D. Haren
    Haren is a village in the Netherlands that functions as a submunicipality within the municipality of Oss in the province of North Brabant.
  • E. Hessin
    Hessin is the middle name of John Hessin Clarke, an American lawyer and jurist who served as an Associate Justice of the U.S. Supreme Court in the early 20th century.
  • 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_69d8278adc7c8190a9218d69bce3c4e6 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de62432fb48190b153805b85c4f2d2 completed April 14, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd282183308190b63172972773b3c2 completed May 8, 2026, 12:02 a.m.
Created at: April 10, 2026, 1:08 a.m.