Triple

T14120550
Position Surface form Disambiguated ID Type / Status
Subject King Triton E339892 entity
Predicate title P38 FINISHED
Object King of Atlantica E965235 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: King of Atlantica | Statement: [King Triton, title, King of Atlantica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: King of Atlantica
Context triple: [King Triton, title, King of Atlantica]
  • A. King of Atlantis
    King of Atlantis is the royal mantle held by Namor, the powerful Marvel Comics antihero who rules the underwater kingdom of Atlantis.
  • B. Queen of Atlantis
    Queen of Atlantis is the royal mantle held by Mera, the powerful underwater monarch and ally of Aquaman in DC Comics.
  • C. Seven Seas
    Seven Seas is a traditional maritime term referring to the world’s major seas and oceans collectively.
  • D. Princess of Atlantica chosen
    Princess of Atlantica is the royal title held by Ariel, the adventurous mermaid heroine of Disney’s animated film "The Little Mermaid."
  • E. Masters of Atlantis
    Masters of Atlantis is a satirical novel by Charles Portis that follows the absurd rise and fall of a secret fraternal order obsessed with dubious occult wisdom.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de60942a588190beff0058a92f7051 completed April 14, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf0641008190b88efacc02ba5314 completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 10:22 p.m.