Triple

T21467442
Position Surface form Disambiguated ID Type / Status
Subject Farewell Waltz E529627 entity
Predicate character P662 FINISHED
Object Kamila 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: Kamila | Statement: [Farewell Waltz, character, Kamila]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kamila
Context triple: [Farewell Waltz, character, Kamila]
  • A. Kamila chosen
    Kamila is a feminine given name, commonly used in various cultures as a variant of Camilla.
  • B. Kamilla
    Kamilla is a Brazilian professional basketball player known for her standout collegiate career at Syracuse and South Carolina before entering the WNBA.
  • C. Karima
    Karima is a town in northern Sudan known as a gateway to the ancient Nubian archaeological area around Gebel Barkal and the Napatan sites.
  • D. Klaudija
    Klaudija is a feminine given name, commonly used in Slavic countries, that corresponds to the name Claudia.
  • E. Katia
    Katia is the Atlantic hurricane name that was introduced to replace the retired name Katrina following the devastating 2005 storm.
  • 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_69e0c459acb481909bb6ee452a0045c7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9f415d48190a2b0993a4f3c018f completed April 23, 2026, 9:44 a.m.
Created at: April 16, 2026, 6:14 p.m.