Triple

T2046835
Position Surface form Disambiguated ID Type / Status
Subject Doctor Strange E45471 entity
Predicate enemy P4567 FINISHED
Object Shuma-Gorath E221794 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: Shuma-Gorath | Statement: [Doctor Strange, enemy, Shuma-Gorath]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shuma-Gorath
Context triple: [Doctor Strange, enemy, Shuma-Gorath]
  • A. Shuma-Gorath chosen
    Shuma-Gorath is an ancient, godlike, tentacled demon from Marvel Comics known for its immense mystical power and frequent clashes with Doctor Strange.
  • B. Dormammu
    Dormammu is a powerful extra-dimensional warlord and ruler of the Dark Dimension in the Marvel universe, known as one of Doctor Strange’s most formidable mystical adversaries.
  • C. 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.
  • D. Tarasque
    The Tarasque is a legendary dragon-like monster from Provençal folklore, famously tamed by Saint Martha and associated with the town of Tarascon in southern France.
  • E. Zahhak
    Zahhak is a legendary tyrant king in Persian mythology, most famously depicted in Ferdowsi’s Shahnameh as a demonic ruler with serpents growing from his shoulders.
  • 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_69a8891948208190ab7898da21824c77 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb973a51881908c2c1e633daa3cb4 completed March 7, 2026, 5:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae2003e9488190b54ff042c91d4a62 completed March 9, 2026, 1:19 a.m.
Created at: March 4, 2026, 7:39 p.m.