Triple

T8628271
Position Surface form Disambiguated ID Type / Status
Subject Aquaman and the Lost Kingdom E204332 entity
Predicate featuresCharacter P626 FINISHED
Object Orm Marius E746329 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: Orm Marius | Statement: [Aquaman and the Lost Kingdom, featuresCharacter, Orm Marius]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orm Marius
Context triple: [Aquaman and the Lost Kingdom, featuresCharacter, Orm Marius]
  • A. Orm Marius chosen
    Orm Marius is a DC Comics supervillain and the half-brother of Aquaman, often known as Ocean Master and a key antagonist in Aquaman’s stories.
  • B. Martinus
    Martinus is the given first name of Dutch sprinter and later police officer Tinus Osendarp, a notable athlete of the 1930s.
  • C. Johanus
    Johanus is a given name, likely a variant or diminutive of Johan, used as a personal first name in some cultures.
  • D. Laelianus
    Laelianus was a short-lived usurper emperor of the breakaway Gallic Empire in the 3rd century Roman crisis.
  • E. Fannius
    Fannius is a character in Cicero’s philosophical dialogue "De re publica," participating in the work’s discussions on Roman politics and constitutional theory.
  • 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.