Triple

T2384629
Position Surface form Disambiguated ID Type / Status
Subject NeXT Inc. E46390 entity
Predicate keyPerson P256 FINISHED
Object Avie Tevanian E122691 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: Avie Tevanian | Statement: [NeXT Inc., keyPerson, Avie Tevanian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avie Tevanian
Context triple: [NeXT Inc., keyPerson, Avie Tevanian]
  • A. Avie Tevanian chosen
    Avie Tevanian is a software engineer best known as the chief architect of the NeXTSTEP operating system and later a senior executive at Apple, where he played a key role in developing macOS.
  • B. Jon Rubinstein
    Jon Rubinstein is an American computer engineer and executive best known for his key role in developing Apple's iPod and later leading Palm as CEO.
  • C. Eli Segal
    Eli Segal was an American political strategist and nonprofit leader known for his senior roles in Democratic campaigns and for helping launch major national service initiatives like AmeriCorps.
  • D. Norm Schachter
    Norm Schachter was a prominent American football official best known for serving as the referee in the first three Super Bowls.
  • E. Sam Zussman
    Sam Zussman is a sports and media executive who serves as a top business leader for the NBA’s Brooklyn Nets organization.
  • 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_69a88a1554a48190a0180682bcf099be completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abc7bc87d0819090cd9d19d748bcc3 completed March 7, 2026, 6:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea8bae2ec8190962479832bf7762e completed March 9, 2026, 11:02 a.m.
Created at: March 4, 2026, 7:57 p.m.