Triple

T14994299
Position Surface form Disambiguated ID Type / Status
Subject The Mankind E373916 entity
Predicate seeksRefugeFrom P49930 FINISHED
Object Satan E801462 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: Satan | Statement: [The Mankind, seeksRefugeFrom, Satan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Satan
Context triple: [The Mankind, seeksRefugeFrom, Satan]
  • A. 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.
  • B. Satan chosen
    Satan is a central figure in Abrahamic religions, typically depicted as the embodiment of evil and the adversary of God and humankind.
  • C. Satan
    Satan is a track by the electronic music duo Orbital, known for its dark, driving sound and prominent use in their live performances.
  • D. 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.
  • E. Šatan
    Šatan is a Slovak surname most famously borne by Miroslav Šatan, a prominent former professional ice hockey player and national team star.
  • 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_69d85ccc84388190aa151e5173370c8d completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded716ebb481908224d2d4f7561b03 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe969a63f081908bf11783e2a51229 completed May 9, 2026, 2:06 a.m.
Created at: April 10, 2026, 2:53 a.m.