Triple

T6849414
Position Surface form Disambiguated ID Type / Status
Subject Sandy Saddler E157977 entity
Predicate familyName P18 FINISHED
Object Saddler E437509 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: Saddler | Statement: [Sandy Saddler, familyName, Saddler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saddler
Context triple: [Sandy Saddler, familyName, Saddler]
  • A. Saddler chosen
    Saddler is a surname and occupational term historically referring to someone who makes, repairs, or sells saddles and other horse-related leather equipment.
  • B. Shriever
    Shriever is a surname, a variant spelling of "Shriver," borne by various individuals of English-speaking origin.
  • C. Snodgrass
    Snodgrass is a surname of English and Scottish origin borne by various notable individuals in sports, politics, and the arts.
  • D. Hunte
    The Hunte is a river in northwestern Germany that flows through Lower Saxony before joining the Weser.
  • E. Mullett
    Mullett is a surname most notably associated with Alfred B. Mullett, a 19th-century American architect known for designing prominent federal buildings.
  • 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_69c6882fae988190864cbba788c5ebb4 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d84acb288190a67d974197ecab2f completed March 27, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72fcdf3888190b95b2ce10964793b completed March 28, 2026, 1:33 a.m.
Created at: March 27, 2026, 2:20 p.m.