Triple

T12563972
Position Surface form Disambiguated ID Type / Status
Subject Schneider E295419 entity
Predicate hasVariant P455 FINISHED
Object Snider E295420 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: Snider | Statement: [Schneider, hasVariant, Snider]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Snider
Context triple: [Schneider, hasVariant, Snider]
  • A. Snider chosen
    Snider is a surname that serves as a spelling variant of the more common family name Snyder.
  • B. .577 Snider
    The .577 Snider is a 19th-century British black powder metallic cartridge developed for use in converted Snider–Enfield rifles, notable as one of the first widely adopted military breech-loading cartridges.
  • C. Snyders
    Snyders is a surname that functions as a variant spelling of Snyder, borne by various individuals and families.
  • D. Snodgrass
    Snodgrass is a surname of English and Scottish origin borne by various notable individuals in sports, politics, and the arts.
  • E. Scoggins
    Scoggins is a minor supporting character in the 1999 science fiction horror film "Deep Blue Sea," which centers on genetically enhanced sharks in an underwater research facility.
  • 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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d95494ae1c81908b9ee14b8ef92a65 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6558da7e0819086860bfaf394e2d8 completed May 2, 2026, 7:50 p.m.
Created at: April 8, 2026, 11:49 p.m.