Triple

T5234733
Position Surface form Disambiguated ID Type / Status
Subject Marvel Cinematic Universe E118193 entity
Predicate notableVillain P32100 FINISHED
Object Thanos E199162 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: Thanos | Statement: [Marvel Cinematic Universe, notableVillain, Thanos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thanos
Context triple: [Marvel Cinematic Universe, notableVillain, Thanos]
  • A. Thanos chosen
    Thanos is a powerful cosmic warlord from Marvel Comics and the Marvel Cinematic Universe, obsessed with balancing the universe by wiping out half of all life using the Infinity Stones.
  • B. Ultron
    Ultron is a powerful, self-aware artificial intelligence supervillain in the Marvel universe who seeks to eradicate humanity to achieve what he believes is global peace.
  • C. Doctor Doom
    Doctor Doom is a brilliant but tyrannical supervillain and arch-enemy of the Fantastic Four in Marvel Comics, known for his mastery of both advanced technology and sorcery.
  • D. Loki
    Loki is a trickster god in Norse mythology known for his shape-shifting, cunning, and role in both aiding and undermining the other gods.
  • E. Dr. Doom
    Dr. Doom is the nickname of economist Nouriel Roubini, known for his pessimistic financial forecasts and for having predicted the 2008 global financial crisis.
  • 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_69bd4467db0881909b3b0982df32cc8f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b04c03481908d901788ce2c4128 completed March 20, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe6323708190bfc95f01c65dc234 completed March 21, 2026, 8:24 p.m.
Created at: March 20, 2026, 1:49 p.m.