Triple

T21251049
Position Surface form Disambiguated ID Type / Status
Subject Dracula: Dead and Loving It E523743 entity
Predicate character P662 FINISHED
Object Mina 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: Mina | Statement: [Dracula: Dead and Loving It, character, Mina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mina
Context triple: [Dracula: Dead and Loving It, character, Mina]
  • A. Mina chosen
    Mina is a feminine given name used in various cultures, often as a short form of names like Wilhelmina, Amina, or Emina.
  • B. Mina
    Mina is a small unincorporated community and former railroad town in Mineral County, western Nevada.
  • C. Mina
    Mina is a Fairy-type specialist and one of the Trial Captains in the Alola region of the Pokémon series.
  • D. Mina
    Mina is a valley and neighborhood near Mecca in Saudi Arabia that serves as a major site for key Hajj rituals, including the symbolic stoning of the devil.
  • E. Mina
    Mina is a Gbe language of the Niger-Congo family spoken primarily in southern Togo and neighboring regions of West Africa.
  • 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_69e0b5146c108190adc9adb73e90abff completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7359e90d881909b3153f1e7213c5c completed April 21, 2026, 8:30 a.m.
Created at: April 16, 2026, 3:56 p.m.