Triple

T16912447
Position Surface form Disambiguated ID Type / Status
Subject Fernando E410234 entity
Predicate hasVariant P455 FINISHED
Object Hernando E292534 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: Hernando | Statement: [Fernando, hasVariant, Hernando]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hernando
Context triple: [Fernando, hasVariant, Hernando]
  • A. Hernando chosen
    Hernando is the Spanish form of the given name Ferdinand, historically borne by several notable figures including explorers and monarchs.
  • B. Hernando, Florida
    Hernando, Florida is an unincorporated community in Citrus County known for its access to outdoor recreation, including biking and nature activities along the nearby Withlacoochee State Trail.
  • C. Sanford
    Sanford is a small town located in Covington County in the southern part of the U.S. state of Alabama.
  • D. Sanford
    Sanford is an American television sitcom that served as a continuation of the classic series "Sanford and Son," featuring Redd Foxx reprising his role as Fred Sanford.
  • E. Sanford
    Sanford is an American philanthropist and businessman best known for his major charitable contributions to healthcare and education institutions.
  • 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_69d886c7b1e481908c3766dfa8c13458 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3ca3e6b9481909fbaeb0bddd7e3b2 completed April 18, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfd0ff2881908686678daab46664 completed May 10, 2026, 6:34 p.m.
Created at: April 10, 2026, 5:30 a.m.