Triple

T6459851
Position Surface form Disambiguated ID Type / Status
Subject Biz Stone E142089 entity
Predicate birthName P65 FINISHED
Object Christopher Isaac Stone E189732 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: Christopher Isaac Stone | Statement: [Biz Stone, birthName, Christopher Isaac Stone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christopher Isaac Stone
Context triple: [Biz Stone, birthName, Christopher Isaac Stone]
  • A. Christopher Isaac Stone chosen
    Christopher Isaac Stone, better known as Biz Stone, is an American entrepreneur and software developer best known as a co-founder of Twitter.
  • B. Michael Stone
    Michael Stone is a common name shared by several notable individuals, including professionals in fields such as politics, sports, academia, and the arts.
  • C. William Lee Scott
    William Lee Scott is an American actor known for his roles in films like "The Opposite of Sex" and the television series "The Steve Harvey Show."
  • D. David Stone
    David Stone is a prominent American theatrical producer known for his work on acclaimed Broadway shows including the musical "Wicked."
  • E. John Mack Stone
    John Mack Stone is a pseudonym used by American author Johnston McCulley, best known as the creator of the masked vigilante character Zorro.
  • 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_69c008d2f91c8190a8178767a35e08fc completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c069f50ea88190af29c8c249ff2b69 completed March 22, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64be1fad88190af07b7053811e3f2 completed March 27, 2026, 9:20 a.m.
Created at: March 22, 2026, 4:48 p.m.