Triple

T14711325
Position Surface form Disambiguated ID Type / Status
Subject Olympic coven E345553 entity
Predicate vampireType P115463 FINISHED
Object vegetarian vampire coven LITERAL 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: vegetarian vampire coven | Statement: [Olympic coven, vampireType, vegetarian vampire coven]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: vampireType
Context triple: [Olympic coven, vampireType, vegetarian vampire coven]
  • A. portraysVampiresAs
    Indicates how something represents or depicts vampires, especially in terms of their nature, traits, or role.
  • B. hasVampireCharacter
    Indicates that an entity includes or features at least one character who is a vampire.
  • C. hasVampireMaker
    Indicates that one entity is the creator or sire who turned another entity into a vampire.
  • D. typeOfDarkness
    Indicates a relationship where one entity is characterized as a specific kind or form of darkness relative to another.
  • E. isUndead
    Indicates that an entity is no longer living in a natural sense but continues to exist through supernatural or unnatural means.
  • F. None of above. chosen

Provenance (4 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb982bf248190881e21a8a0861a3f completed April 14, 2026, 10:02 p.m.
PD Predicate disambiguation batch_69de657c57ec8190ae0b9bb79a514566 completed April 14, 2026, 4:04 p.m.
PDg Predicate description generation batch_69de716d3aac8190aaa6dc1f099b86e8 completed April 14, 2026, 4:55 p.m.
Created at: April 10, 2026, 1:28 a.m.