Triple

T1163187
Position Surface form Disambiguated ID Type / Status
Subject Lakeside School E24538 entity
Predicate hasAlumnus P51 FINISHED
Object Reed Hastings E20636 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: Reed Hastings | Statement: [Lakeside School, hasAlumnus, Reed Hastings]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reed Hastings
Context triple: [Lakeside School, hasAlumnus, Reed Hastings]
  • A. Reed Hastings chosen
    Reed Hastings is an American entrepreneur and business executive best known as the co-founder and longtime CEO of Netflix, a pioneering company in video streaming and entertainment.
  • B. Jeff Skoll
    Jeff Skoll is a Canadian-born entrepreneur, film producer, and philanthropist best known as eBay’s first president and for founding Participant Media and the Skoll Foundation to promote social change.
  • C. Michelle Sarandos
    Michelle Sarandos is the wife of Netflix co-CEO and chief content officer Ted Sarandos.
  • D. Marc Benioff
    Marc Benioff is an American billionaire entrepreneur and philanthropist best known as the co-founder, chairman, and CEO of cloud software company Salesforce.
  • E. Jeff Bezos
    Jeff Bezos is an American entrepreneur and investor best known as the billionaire tech magnate who built Amazon into one of the world’s largest e-commerce and cloud computing companies.
  • 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_69a494060e148190abb42f971242c197 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bcc9dc5081908e225a485186ab12 completed March 1, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac66803e0881908d2eea76dad028fa completed March 7, 2026, 5:55 p.m.
Created at: March 1, 2026, 7:45 p.m.