Triple

T12060621
Position Surface form Disambiguated ID Type / Status
Subject Ariel E287157 entity
Predicate enemy P4567 FINISHED
Object Morgana E67333 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: Morgana | Statement: [Ariel, enemy, Morgana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morgana
Context triple: [Ariel, enemy, Morgana]
  • A. Morgana Jones
    Morgana Jones is a musical artist known for releasing tracks such as “She Believes in Me.”
  • B. Demona
    Demona is a central antagonist in Disney's animated series "Gargoyles," a powerful and vengeful gargoyle who harbors a deep hatred for humans.
  • C. Morrigan
    Morrigan is a sharp-tongued, morally ambiguous witch from the Dragon Age video game series, known for her shape-shifting abilities and complex relationship with the player character.
  • D. Morgan le Fay chosen
    Morgan le Fay is a powerful enchantress of Arthurian legend, often depicted as King Arthur’s half-sister and a complex figure who alternates between adversary and ally to the knights of the Round Table.
  • E. Nimue
    Nimue is a sorceress of Arthurian legend, often portrayed as the Lady of the Lake who enchants and imprisons the wizard Merlin.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9043dbccc8190bf9da181f826f0d8 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6532a048190b53f96c9df948dda completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:48 p.m.