Triple

T3296498
Position Surface form Disambiguated ID Type / Status
Subject Lucinda Southworth E69228 entity
Predicate marriedTo P13 FINISHED
Object Larry Page E12319 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: Larry Page | Statement: [Lucinda Southworth, marriedTo, Larry Page]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Larry Page
Context triple: [Lucinda Southworth, marriedTo, Larry Page]
  • A. Larry Page chosen
    Larry Page is an American computer scientist and entrepreneur best known as the co-founder and former CEO of Google and its parent company Alphabet Inc.
  • B. Sergey Brin
    Sergey Brin is a computer scientist and internet entrepreneur best known as the co-founder of Google.
  • C. Sam Brin
    Sam Brin is the brother of Google co-founder Sergey Brin and a member of the Brin family known for its ties to the tech industry.
  • D. Reid Hoffman
    Reid Hoffman is an American entrepreneur, venture capitalist, and co-founder of LinkedIn, known for his influential role in the tech industry and philanthropy.
  • E. Steve Chen
    Steve Chen is a Taiwanese-American internet entrepreneur best known as one of the co-founders of the video-sharing platform YouTube.
  • 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_69ad859e529c8190a404273f53cb487d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb078f3dc8190afb624f62894e48f completed March 8, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b367e9e414819088ec4b05495b86e1 completed March 13, 2026, 1:27 a.m.
Created at: March 8, 2026, 3:10 p.m.