Triple

T1242603
Position Surface form Disambiguated ID Type / Status
Subject Emma Stone E26691 entity
Predicate familyName P18 FINISHED
Object Stone E49109 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: Stone | Statement: [Emma Stone, familyName, Stone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stone
Context triple: [Emma Stone, familyName, Stone]
  • A. Stone
    Stone is a market town in Staffordshire, England, known historically for its canal and brewing heritage.
  • B. Stone chosen
    Stone is a common English surname borne by numerous notable individuals across history, including figures in religion, politics, arts, and sciences.
  • C. Stone
    "Stone" is a 2010 American crime drama film directed by John Curran, starring Robert De Niro, Edward Norton, and Milla Jovovich in a tense psychological story of manipulation and redemption.
  • D. Black Stone
    The Black Stone is a revered Islamic relic set into the eastern corner of the Kaaba in Mecca, which pilgrims traditionally try to touch or kiss during the Hajj and Umrah rituals.
  • E. Crystal
    Crystal is the surname of American actor, comedian, and filmmaker Billy Crystal, known for his work in film, television, and stand-up comedy.
  • 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_69a4948689d08190b3a4a3f388c02148 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf61fadc8190b7b9e23eaa15a61d completed March 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8f7bd6148190933210f66a8899ce completed March 7, 2026, 8:50 p.m.
Created at: March 1, 2026, 7:47 p.m.