Triple

T10255091
Position Surface form Disambiguated ID Type / Status
Subject Dúnedain of the North E240440 entity
Predicate descentFrom P33454 FINISHED
Object Maiar E675417 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: Maiar | Statement: [Dúnedain of the North, descentFrom, Maiar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maiar
Context triple: [Dúnedain of the North, descentFrom, Maiar]
  • A. Maiar chosen
    The Maiar are powerful, angelic spirits in J.R.R. Tolkien’s legendarium who serve the Valar and often act as guides or guardians of the world, including figures like Gandalf and Sauron.
  • B. Maera
    Maera is a figure from Greek mythology counted among the many descendants of the Titan Atlas.
  • C. Tigani
    Tigani is the former name of the town now known as Pythagoreio, a historic coastal settlement on the Greek island of Samos.
  • D. Nyota
    Nyota is the first name of Nyota Uhura, the pioneering Star Trek communications officer known as one of the earliest prominent Black female characters in American television science fiction.
  • E. Mira
    Mira is a coastal municipality in central Portugal known for its beaches, lagoons, and natural landscapes.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d24c69ac81908b4da53d13407ac8 completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f7d7ff0c8190b8c9cf063532cdf2 completed April 9, 2026, 12:50 a.m.
Created at: April 6, 2026, 11:30 a.m.