Triple

T821813
Position Surface form Disambiguated ID Type / Status
Subject Crystal Langhorne E17764 entity
Predicate givenName P17 FINISHED
Object Crystal E46916 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: Crystal | Statement: [Crystal Langhorne, givenName, Crystal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crystal
Context triple: [Crystal Langhorne, givenName, Crystal]
  • A. Crystal chosen
    Crystal is a feminine given name often associated with clarity and beauty, derived from the English word for clear, transparent mineral or glass.
  • B. Crystal
    Crystal is the surname of American actor, comedian, and filmmaker Billy Crystal, known for his work in film, television, and stand-up comedy.
  • C. Touchstone
    Touchstone is a publishing imprint known for releasing a wide range of commercial fiction and nonfiction titles.
  • D. 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.
  • E. Stone
    Stone is a common English surname borne by numerous notable individuals across history, including figures in religion, politics, arts, and sciences.
  • 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_69a4937bcaac8190a322524ac6f45a5a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ab7aea38819092a0860ec6e2a033 completed March 1, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7a3b6f0a0819086f8789773f8251e completed March 4, 2026, 3:15 a.m.
Created at: March 1, 2026, 7:38 p.m.