Triple

T12496646
Position Surface form Disambiguated ID Type / Status
Subject Steve Janaszak E298705 entity
Predicate givenName P17 FINISHED
Object Steve E614284 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: Steve | Statement: [Steve Janaszak, givenName, Steve]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steve
Context triple: [Steve Janaszak, givenName, Steve]
  • A. Steve
    Steve is the familiar given name of Stephen Gary Wozniak, the pioneering American computer engineer and co-founder of Apple Inc.
  • B. Steve
    Steve is a central white homeowner character in the play "Clybourne Park," often embodying the tensions and awkward defenses of privilege in the story’s exploration of race and gentrification.
  • C. Steve
    Steve is the commonly used nickname for Stephen Case, an American entrepreneur best known as the co-founder and former CEO of AOL.
  • D. Steve chosen
    Steve is a masculine given name commonly used in English-speaking countries, often as a short form of Stephen or Steven.
  • E. Steve
    Steve is a character best known as the calculating antagonist and betrayer in the heist film "The Italian Job."
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94df948308190ace333230a4a3b38 completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64baf73188190af29b57f8ae9253f completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:57 p.m.