Triple

T8126056
Position Surface form Disambiguated ID Type / Status
Subject Christopher Isaac Stone E189732 entity
Predicate alsoKnownAs P39 FINISHED
Object Biz Stone E26749 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: Biz Stone | Statement: [Christopher Isaac Stone, alsoKnownAs, Biz Stone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Biz Stone
Context triple: [Christopher Isaac Stone, alsoKnownAs, Biz Stone]
  • A. Biz Stone chosen
    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.
  • B. Dustin Moskovitz
    Dustin Moskovitz is an American entrepreneur and philanthropist best known as a co-founder of Facebook and the productivity software company Asana.
  • C. Steve Levine
    Steve Levine is a British record producer best known for his work in the 1980s with artists such as Culture Club and The Beach Boys.
  • D. Scott Belsky
    Scott Belsky is an American entrepreneur, author, and investor best known as the co-founder of the creative platform Behance and as a longtime product leader at Adobe.
  • E. Sean Parker
    Sean Parker is an American entrepreneur and investor best known as the co-founder of Napster and the first president of Facebook.
  • 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_69ca82bb74848190afb1f18640632c10 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb438eb778819085296e6cbfa2e70d completed March 31, 2026, 3:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc946b44d08190a042932ee908dc2f completed April 1, 2026, 3:43 a.m.
Created at: March 30, 2026, 5:34 p.m.