Triple

T11016489
Position Surface form Disambiguated ID Type / Status
Subject NeXT E260378 entity
Predicate foundedBy P104 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, foundedBy, Avie Tevanian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avie Tevanian
Context triple: [NeXT, foundedBy, 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. Arik Vardi
    Arik Vardi is an Israeli tech entrepreneur best known as a co-founder of the pioneering instant messaging company Mirabilis, creator of ICQ.
  • C. 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.
  • D. David Weinberg
    David Weinberg is a name shared by multiple notable individuals, including professionals in fields such as science, academia, and the arts.
  • E. Eric Tannenbaum
    Eric Tannenbaum is a television producer best known for his work on popular American sitcoms, including serving as an executive producer on "Two and a Half Men."
  • 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_69d6aa9687448190b28d353b1b6a610e completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797a682908190b061d1995e2866b6 completed April 9, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69e374d371ec8190aba9e77346c6e876 completed April 18, 2026, 12:10 p.m.
Created at: April 8, 2026, 9:25 p.m.