Triple

T11405181
Position Surface form Disambiguated ID Type / Status
Subject Carns E270217 entity
Predicate variantOf P4680 FINISHED
Object Carnes E55185 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: Carnes | Statement: [Carns, variantOf, Carnes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carnes
Context triple: [Carns, variantOf, Carnes]
  • A. Carnes chosen
    Carnes is a surname of English origin borne by various individuals and fictional characters, including Ado Annie Carnes from the musical "Oklahoma!".
  • B. Cârnic
    Cârnic is a mountain access point and trailhead settlement commonly used as a gateway into Romania’s Retezat National Park.
  • C. Gamaches
    Gamaches is a small commune in northern France known for its location in the Somme department within the Hauts-de-France region.
  • D. Meat Eaters
    "Meat Eaters" is an episode of the BBC nature documentary series *The Life of Mammals* that explores the behavior, adaptations, and ecology of carnivorous mammals.
  • E. The Beef Carcass
    The Beef Carcass is a vivid, expressionistic painting by Chaim Soutine, renowned for its dramatic depiction of a hanging animal carcass that explores themes of mortality and raw physicality.
  • 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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8014c820c81908538ba4a08e13230 completed April 9, 2026, 7:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69e58d56608481908dbb19daa2abfc0a completed April 20, 2026, 2:20 a.m.
Created at: April 8, 2026, 9:34 p.m.