Triple

T9911889
Position Surface form Disambiguated ID Type / Status
Subject Nimue E185162 entity
Predicate alsoKnownAs P39 FINISHED
Object Niniane E733866 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: Niniane | Statement: [Nimue, alsoKnownAs, Niniane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Niniane
Context triple: [Nimue, alsoKnownAs, Niniane]
  • A. Niniane chosen
    Niniane is a legendary enchantress of Arthurian mythology, often associated with or identified as the Lady of the Lake who mentors and imprisons the wizard Merlin.
  • B. Adara
    Adara is a small coastal village on Atauro Island in East Timor, known for its traditional fishing community and nearby coral reefs popular with divers and snorkelers.
  • C. Sylvana
    Sylvana is a feminine given name, often considered a variant of Silvana, typically associated with meanings related to forests or woodland.
  • D. Kassanda
    Kassanda is a district in central Uganda that forms part of the traditional kingdom of Buganda.
  • E. Nari
    Nari is a groundbreaking feminist work by Bangladeshi writer and scholar Humayun Azad that critically examines the oppression and social position of women in Bengali and broader South Asian society.
  • 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_69ca8296165881908ca4750701af1f29 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb5391b8081908094b88cdde4b55a completed April 2, 2026, 12:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20dcbf28c8190aa9f6a8be423670a completed April 5, 2026, 7:22 a.m.
Created at: March 30, 2026, 8:41 p.m.