Triple

T3172952
Position Surface form Disambiguated ID Type / Status
Subject Noah Shebib E66396 entity
Predicate name P16 FINISHED
Object Noah Shebib E66396 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: Noah Shebib | Statement: [Noah Shebib, name, Noah Shebib]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Noah Shebib
Context triple: [Noah Shebib, name, Noah Shebib]
  • A. Noah Shebib chosen
    Noah "40" Shebib is a Canadian record producer, songwriter, and audio engineer best known for his long-standing collaboration with Drake and his influential, atmospheric production style in contemporary hip hop and R&B.
  • B. Noah Sorota
    Noah Sorota is a film and television composer best known for scoring the science-fiction series "Falling Skies."
  • C. Noah Mendelsohn
    Noah Mendelsohn is a computer scientist and software architect known for his influential work on web standards and leadership within the World Wide Web Consortium (W3C).
  • D. Noah Vosen
    Noah Vosen is a high-ranking, hardline CIA official and primary antagonist in the film "The Bourne Ultimatum," overseeing covert operations to eliminate Jason Bourne.
  • E. Noah Segan
    Noah Segan is an American actor best known for his frequent collaborations with director Rian Johnson, including roles in films like "Looper" and "Knives Out."
  • 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_69ad8586a34c8190944c63ec11a8de1a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada66facf881908b9ec687d68ce91b completed March 8, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b262049a38819091efe2a322275abd completed March 12, 2026, 6:49 a.m.
Created at: March 8, 2026, 3:06 p.m.