Triple

T2413003
Position Surface form Disambiguated ID Type / Status
Subject Snapchat E52237 entity
Predicate founder P104 FINISHED
Object Evan Spiegel 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 | Statement: [Snapchat, founder, Evan Spiegel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Evan Spiegel
Context triple: [Snapchat, founder, Evan Spiegel]
  • 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. August Chan Zuckerberg
    August Chan Zuckerberg is one of the daughters of Facebook co-founder Mark Zuckerberg and philanthropist Priscilla Chan.
  • 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. Drew Houston
    Drew Houston is an American entrepreneur best known as the co-founder and CEO of the cloud storage company Dropbox.
  • 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_69ab495622948190bc6bc6e4cddaf645 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc92a4e1c8190819fa676295ac145 completed March 7, 2026, 6:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf43c1fc8190ae66bd88ad4c7a6b completed March 9, 2026, 12:38 p.m.
Created at: March 6, 2026, 9:41 p.m.