Triple

T17250990
Position Surface form Disambiguated ID Type / Status
Subject The Wish List E418750 entity
Predicate hasCharacter P2308 FINISHED
Object Beelzebub E521113 NE 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: Beelzebub | Statement: [The Wish List, hasCharacter, Beelzebub]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beelzebub
Context triple: [The Wish List, hasCharacter, Beelzebub]
  • A. Beelzebub chosen
    Beelzebub is a prominent demon figure in Christian and literary tradition, often depicted as a high-ranking fallen angel and close associate of Satan.
  • B. Azazel
    Azazel is a powerful yellow-eyed demon from the television series "Supernatural," known for orchestrating the events that shape Sam and Dean Winchester’s destinies.
  • C. Satana
    Satana is a town in the Nashik district of Maharashtra, India, known for its agricultural markets and proximity to several religious and historical sites.
  • D. Satan
    Satan is a central demonic figure and primary antagonist in the manga and anime series Blue Exorcist, portrayed as the powerful king of demons and the source of the protagonist’s conflict.
  • E. Satan
    Satan is a central figure in Abrahamic religions, typically depicted as the embodiment of evil and the adversary of God and humankind.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e270fc48190a75f3893a5ec059b completed April 19, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0170f96e548190be92846e072118f9 completed May 11, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:39 a.m.