Triple

T11048097
Position Surface form Disambiguated ID Type / Status
Subject Morgoth E261179 entity
Predicate corrupted P54764 FINISHED
Object Maiar E675417 NE FINISHED

How this triple was built (3 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: [Morgoth, corrupted, Maiar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maiar
Context triple: [Morgoth, corrupted, 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.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: corrupted
Context triple: [Morgoth, corrupted, Maiar]
  • A. corrupts chosen
    Indicates that one entity causes another entity, system, or process to become morally, functionally, or structurally degraded or impaired.
  • B. broken
    Indicates that an entity is damaged or no longer functioning as intended, often as the result of some prior action or event.
  • C. invalidated
    Indicates that one entity has rendered another entity null, void, or no longer legally or logically effective.
  • D. eroded
    Indicates that a force or process has gradually worn away, diminished, or degraded something over time.
  • E. recovered
    Indicates that an entity has returned to a previous, healthier, normal, or functional state after a period of loss, damage, illness, or impairment.
  • F. None of above.

Provenance (4 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d798315b988190bc565581b2664009 completed April 9, 2026, 12:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c851d5408190b12250a2a1322874 completed April 18, 2026, 6:07 p.m.
PD Predicate disambiguation batch_69d7440da46c8190a77380d5d747ac9c completed April 9, 2026, 6:15 a.m.
Created at: April 8, 2026, 9:26 p.m.