Triple

T11160719
Position Surface form Disambiguated ID Type / Status
Subject Snap Inc. E264026 entity
Predicate hasFounderRole P104 FINISHED
Object Evan Spiegel, CEO E52235 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: Evan Spiegel, CEO | Statement: [Snap Inc., hasFounderRole, Evan Spiegel, CEO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Evan Spiegel, CEO
Context triple: [Snap Inc., hasFounderRole, Evan Spiegel, CEO]
  • A. Evan Spiegel chosen
    Evan Spiegel is an American entrepreneur best known as the co-founder and CEO of Snap Inc., the company behind Snapchat.
  • B. Kevin Systrom
    Kevin Systrom is an American entrepreneur and programmer best known as the co-founder and former CEO of the photo-sharing social media platform Instagram.
  • C. Scott Belsky
    Scott Belsky is an American entrepreneur, author, and investor best known as the co-founder of the creative platform Behance and as a longtime product leader at Adobe.
  • D. Biz Stone
    Biz Stone is an American entrepreneur and software developer best known as one of the co-founders of Twitter and a prominent figure in the social media industry.
  • E. John Donahoe
    John Donahoe is an American business executive best known as the CEO of Nike, Inc. and former CEO of eBay and ServiceNow.
  • 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_69d6aa9ccddc8190868998c8b7beb060 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8817a90819087820d5241c58851 completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4aced563c8190a56ab5ff0618d21f completed April 19, 2026, 10:22 a.m.
Created at: April 8, 2026, 9:29 p.m.