Triple

T18059069
Position Surface form Disambiguated ID Type / Status
Subject Povel Ramel E432120 entity
Predicate givenName P17 FINISHED
Object Povel 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: Povel | Statement: [Povel Ramel, givenName, Povel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Povel
Context triple: [Povel Ramel, givenName, Povel]
  • A. Povel chosen
    Povel is a Swedish given name best known from the entertainer, musician, and comedian Povel Ramel.
  • B. Potes
    Potes is a historic mountain town in northern Spain’s Cantabria region, known as a gateway to the Picos de Europa and for its traditional stone architecture and scenic river setting.
  • C. Pocius
    Pocius is a Lithuanian surname most notably associated with former professional basketball player Martynas Pocius.
  • D. Poeni
    Poeni refers to the ancient Punic people of Carthage, a seafaring civilization of Phoenician origin that dominated western Mediterranean trade and rivaled Rome.
  • E. Paviotso
    Paviotso is another name for the Northern Paiute language, a Uto-Aztecan language traditionally spoken by the Northern Paiute people of the western United States.
  • 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_69d8b906482481908183315b9ecf9994 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4c1048c00819097c7dfbf76bb0987 completed April 19, 2026, 11:48 a.m.
Created at: April 10, 2026, 10:26 a.m.