Triple

T18333835
Position Surface form Disambiguated ID Type / Status
Subject Melina E439215 entity
Predicate allyOfCharacter P131401 FINISHED
Object Kuato 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: Kuato | Statement: [Melina, allyOfCharacter, Kuato]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kuato
Context triple: [Melina, allyOfCharacter, Kuato]
  • A. Kuato chosen
    Kuato is the mutant resistance leader in the 1990 science fiction film "Total Recall," known for his psychic abilities and symbiotic physical form.
  • B. Kunka
    Kunka is the original name of the Historic Walled Town of Cuenca, a UNESCO-listed medieval city in central Spain renowned for its dramatic clifftop setting and well-preserved architecture.
  • C. Kaiten
    Kaiten was a Japanese warship that took part in the late-19th-century Boshin War naval engagements, including the Battle of Hakodate.
  • D. Kupiano
    Kupiano is a coastal town in Papua New Guinea’s Central Province, known as a local administrative and trading center for surrounding rural communities.
  • E. Katonda
    Katonda is the supreme creator god and high deity in the traditional religion and cosmology of the Baganda people of Uganda.
  • 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_69d8b9175fec8190af865699b4e64d8c completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50ecbc76c8190a80c0c8c8bce1cbd completed April 19, 2026, 5:20 p.m.
Created at: April 10, 2026, 10:36 a.m.