Triple

T17746734
Position Surface form Disambiguated ID Type / Status
Subject Hellmouth E443007 entity
Predicate associatedWith P37 FINISHED
Object The First Evil 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: The First Evil | Statement: [Hellmouth, associatedWith, The First Evil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The First Evil
Context triple: [Hellmouth, associatedWith, The First Evil]
  • A. The First Evil chosen
    The First Evil is the primordial, incorporeal embodiment of all evil in the Buffy the Vampire Slayer universe, serving as the ultimate antagonist who manipulates others to carry out its malevolent plans.
  • B. An Evil Spirit
    "An Evil Spirit" is a novel by British author Richard Pryce, best known as one of his more prominent works in late 19th-century fiction.
  • C. Beckoner of Evil
    Beckoner of Evil is a Hearthstone minion card from the Whispers of the Old Gods expansion known for its low cost and ability to significantly empower C’Thun.
  • D. Deliver Us from Evil
    Deliver Us from Evil is a South Korean action-thriller film featuring Lee Jung-jae in a prominent role, known for its intense violence and stylish, noir-inspired storytelling.
  • E. Deliver Us from Evil
    Deliver Us from Evil is a 2014 supernatural horror film in which Eric Bana plays a New York police officer who investigates a series of disturbing and seemingly demonic crimes.
  • 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47ad26940819090696c2cb86fd606 completed April 19, 2026, 6:48 a.m.
Created at: April 10, 2026, 10:09 a.m.