Triple

T21236843
Position Surface form Disambiguated ID Type / Status
Subject Justice League: Throne of Atlantis E523366 entity
Predicate featuresCharacter P626 FINISHED
Object Mera NE NERFINISHED

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: Mera | Statement: [Justice League: Throne of Atlantis, featuresCharacter, Mera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mera
Context triple: [Justice League: Throne of Atlantis, featuresCharacter, Mera]
  • A. Mera chosen
    Mera is a powerful Atlantean warrior and sorceress from DC Comics, best known as Aquaman’s ally and queen of Atlantis.
  • B. Mera
    Mera is a town in Ecuador that serves as the administrative and commercial center of Mera Canton in Pastaza Province.
  • C. Meri
    Meri is an Estonian surname most prominently associated with Lennart Meri, the former president of Estonia and noted writer and filmmaker.
  • D. Mekhu
    Mekhu was an ancient Egyptian official and noble whose rock-cut tomb is located among the Tombs of the Nobles at Aswan.
  • E. Uma
    Uma is a central antagonist in Disney's "Descendants" franchise, known as the ambitious and strong-willed daughter of Ursula who leads a pirate crew on the Isle of the Lost.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b513b89c81908b27147e91368db2 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e735202c7481909c642ddaafb40671 completed April 21, 2026, 8:28 a.m.
Created at: April 16, 2026, 3:46 p.m.