Triple

T6380393
Position Surface form Disambiguated ID Type / Status
Subject Black Magic Woman E143564 entity
Predicate includedInAlbum P1925 FINISHED
Object Abraxas E589435 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: Abraxas | Statement: [Black Magic Woman, includedInAlbum, Abraxas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abraxas
Context triple: [Black Magic Woman, includedInAlbum, Abraxas]
  • A. Abraxas chosen
    Abraxas is a mystical term originating in Gnostic traditions, often used as a name for a powerful, transcendent deity or symbolic figure representing the union of opposites.
  • B. Aegitna
    Aegitna is the ancient name of the city now known as Cannes on the French Riviera.
  • C. Praxeas
    Praxeas was an early Christian theologian known for promoting a modalistic view of the Trinity that was later deemed heretical by mainstream church authorities.
  • D. Algazel
    Algazel is the Latinized name of Al-Ghazali, the influential 11th-century Persian theologian, jurist, philosopher, and Sufi whose works profoundly shaped Islamic thought and medieval European philosophy.
  • E. Basilisk
    The Basilisk is a gigantic, deadly serpent from the Harry Potter series whose gaze can kill and whose venom is among the most lethal magical substances.
  • 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_69c008d9f4348190ab598a2913259a1c completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0685265208190b2204bd4abff2668 completed March 22, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69c63874aba88190a543f21e968fbc06 completed March 27, 2026, 7:57 a.m.
Created at: March 22, 2026, 4:33 p.m.