Triple

T3241118
Position Surface form Disambiguated ID Type / Status
Subject The Little Mermaid (1989 film) E67966 entity
Predicate characterVoiced P13156 FINISHED
Object King Triton E339892 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 Triton | Statement: [The Little Mermaid (1989 film), characterVoiced, King Triton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: King Triton
Context triple: [The Little Mermaid (1989 film), characterVoiced, King Triton]
  • A. King Triton chosen
    King Triton is the powerful and protective sea king and father of Ariel in Disney’s animated film "The Little Mermaid."
  • B. Dragon King
    The Dragon King is the official title of the reigning monarch of Bhutan, symbolizing the country's spiritual and cultural identity.
  • C. Dragon King
    The Dragon King is a prominent water and weather deity in Chinese tradition, revered as the ruler of seas, rivers, and rainfall.
  • D. King Tahj
    King Tahj is a music producer known for his work on the album "Songs About Girls."
  • E. Krall
    Krall is the main antagonist in the film "Star Trek Beyond," a former Starfleet officer transformed into a vengeful alien warlord who seeks to destroy the Federation.
  • 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_69ad858d27348190abb61c280b4c86a9 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaef76d908190815bb456e366ee0a completed March 8, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28eadeff481909bd48cdf51044f86 completed March 12, 2026, 10 a.m.
Created at: March 8, 2026, 3:08 p.m.