Triple

T8628270
Position Surface form Disambiguated ID Type / Status
Subject Aquaman and the Lost Kingdom E204332 entity
Predicate featuresCharacter P626 FINISHED
Object Black Manta E746330 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: Black Manta | Statement: [Aquaman and the Lost Kingdom, featuresCharacter, Black Manta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Black Manta
Context triple: [Aquaman and the Lost Kingdom, featuresCharacter, Black Manta]
  • A. Black Manta chosen
    Black Manta is a vengeful, high-tech mercenary and one of Aquaman’s most iconic archenemies in DC Comics.
  • B. Absorbing Man
    Absorbing Man is a Marvel Comics supervillain, often depicted as a formidable foe of heroes like Thor and the Hulk, who can magically absorb the properties of anything he touches.
  • C. Ultra-Humanite
    Ultra-Humanite is a classic DC Comics supervillain, often depicted as a brilliant mad scientist whose mind is transplanted into powerful bodies, making him a recurring foe of Golden Age heroes.
  • D. Marc Spector
    Marc Spector is a Marvel Comics antihero best known as the vigilante Moon Knight, a former mercenary empowered by the Egyptian moon god Khonshu.
  • E. Darren Cross
    Darren Cross is a Marvel Comics supervillain and the primary antagonist in the film "Ant-Man," where he becomes the armored Yellowjacket after attempting to weaponize Pym Particle technology.
  • 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_69ca834a4ea0819094970dceb9e389f3 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc472ccc0c81908e0708c94a7cbe65 completed March 31, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecc9abd1081909d45af7498ec7c34 completed April 2, 2026, 8:07 p.m.
Created at: March 30, 2026, 6:27 p.m.