Triple

T4832439
Position Surface form Disambiguated ID Type / Status
Subject Pyra Labs E107974 entity
Predicate notableEmployee P304 FINISHED
Object Evan Williams E22258 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 Williams | Statement: [Pyra Labs, notableEmployee, Evan Williams]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Evan Williams
Context triple: [Pyra Labs, notableEmployee, Evan Williams]
  • A. Evan Williams chosen
    Evan Williams is an American technology entrepreneur best known as a co-founder and former CEO of Twitter, as well as the creator of the blogging platform Blogger and publishing platform Medium.
  • B. Tony Hsieh
    Tony Hsieh was an American entrepreneur and venture capitalist best known for transforming Zappos into a pioneering online retailer celebrated for its customer service–driven culture.
  • C. Jim Messina
    Jim Messina is an American political strategist best known for managing Barack Obama’s successful 2012 presidential re-election campaign.
  • D. Jeff Pagliocca
    Jeff Pagliocca is a basketball executive best known for serving as the general manager of the WNBA’s Chicago Sky.
  • E. Charles Richardson
    Charles Richardson was a 19th-century British civil engineer best known for overseeing the design and construction of major railway works, including the Severn Tunnel.
  • 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_69bd43fac8188190803f0327190621e4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6cc924e08190b03a7541c629aff9 completed March 20, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69be67d1d3508190a63a1daccce57da7 completed March 21, 2026, 9:41 a.m.
Created at: March 20, 2026, 1:24 p.m.