Triple

T19267777
Position Surface form Disambiguated ID Type / Status
Subject Charles Richard Crane E481833 entity
Predicate familyName P18 FINISHED
Object Crane NE NERFINISHED

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: Crane | Statement: [Charles Richard Crane, familyName, Crane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crane
Context triple: [Charles Richard Crane, familyName, Crane]
  • A. Crane chosen
    Crane is a common English surname borne by numerous notable individuals across literature, politics, and other fields.
  • B. Crane
    Crane is a small city in western Texas that serves as the administrative and economic center of Crane County, historically tied to the region’s oil industry.
  • C. Crane
    Crane is a character from the "Kung Fu Panda" franchise, depicted as a skilled, slender bird kung fu master and member of the Furious Five.
  • D. Crane
    Crane is a premium stationery and paper products brand known for its high-quality cotton-based paper often used for fine correspondence and invitations.
  • E. Crane
    Crane is an indie rock band known for its association with the influential UK independent label Too Pure.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8ce54cc8190998418ff1f66ef28 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb8e1f888190a95f60fa29ca3b98 completed April 20, 2026, 10:10 a.m.
Created at: April 10, 2026, 1:29 p.m.