Triple

T10675021
Position Surface form Disambiguated ID Type / Status
Subject Iblis E251592 entity
Predicate roleInIslam P2319 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: [Iblis, roleInIslam, Satan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Satan
Context triple: [Iblis, roleInIslam, 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. 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. Šatan
    Šatan is a Slovak surname most famously borne by Miroslav Šatan, a prominent former professional ice hockey player and national team star.
  • E. Iblis
    Iblis is the primary satanic figure in Islamic tradition, known for refusing to bow to Adam and subsequently leading humans astray.
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fb935ca88190b1312d3d53902af5 completed April 9, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d998bfc27c8190a9d3e77fbe544a6d completed April 11, 2026, 12:41 a.m.
Created at: April 8, 2026, 9:09 p.m.