Triple

T19351771
Position Surface form Disambiguated ID Type / Status
Subject Florida prison camp E484038 entity
Predicate hasInmate P6022 FINISHED
Object Dragline 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: Dragline | Statement: [Florida prison camp, hasInmate, Dragline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dragline
Context triple: [Florida prison camp, hasInmate, Dragline]
  • A. Dragline chosen
    Dragline is a tough yet ultimately loyal chain-gang prisoner who becomes Paul Newman’s character’s friend and foil in the 1967 film "Cool Hand Luke."
  • B. Prufrock tunnel boring machine
    The Prufrock tunnel boring machine is The Boring Company’s next-generation tunneling system designed to dig transportation and utility tunnels significantly faster and more efficiently than conventional machines.
  • C. Crane
    Crane is a common English surname borne by numerous notable individuals across literature, politics, and other fields.
  • D. 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.
  • E. 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.
  • 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_69d8e8d244f8819080eb1f3491300db2 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e61904a878819084d58ed3b7d8a978 completed April 20, 2026, 12:16 p.m.
Created at: April 10, 2026, 1:34 p.m.