Triple

T805673
Position Surface form Disambiguated ID Type / Status
Subject Obvious Corporation E17426 entity
Predicate foundedBy P104 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: [Obvious Corporation, foundedBy, Evan Williams]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Evan Williams
Context triple: [Obvious Corporation, foundedBy, 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. Drew Houston
    Drew Houston is an American entrepreneur best known as the co-founder and CEO of the cloud storage company Dropbox.
  • C. Michael Arrington
    Michael Arrington is an American entrepreneur, lawyer, and influential tech blogger best known as the founder of the technology news site TechCrunch.
  • D. Fred Wilson
    Fred Wilson is the ambitious and profit-driven Petrox Oil executive who leads the ill-fated expedition to Skull Island in the 1976 remake of King Kong.
  • E. Dustin Moskovitz
    Dustin Moskovitz is an American entrepreneur and philanthropist best known as a co-founder of Facebook and the productivity software company Asana.
  • 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_69a4937ae8a08190b5084a03d532b30e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4aabff3d88190bec4299fa0d87df0 completed March 1, 2026, 9:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d83cf448190a2205cd777386833 completed March 3, 2026, 11:23 p.m.
Created at: March 1, 2026, 7:38 p.m.