Triple

T13804765
Position Surface form Disambiguated ID Type / Status
Subject Steve Butabi E331731 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 Butabi, givenName, Steve]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steve
Context triple: [Steve Butabi, 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de026c36108190a7436034a730a261 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8da594c81908cb878a8cc1b3a72 completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 10:12 p.m.