Triple

T7595754
Position Surface form Disambiguated ID Type / Status
Subject The Silmarillion E179852 entity
Predicate featuresRace P18104 FINISHED
Object Maiar
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.
 E675417 NE FINISHED

How this triple was built (4 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: [The Silmarillion, featuresRace, Maiar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maiar
Context triple: [The Silmarillion, featuresRace, Maiar]
  • A. Maera
    Maera is a figure from Greek mythology counted among the many descendants of the Titan Atlas.
  • B. Tigani
    Tigani is the former name of the town now known as Pythagoreio, a historic coastal settlement on the Greek island of Samos.
  • C. 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.
  • D. Mira
    Mira is a coastal municipality in central Portugal known for its beaches, lagoons, and natural landscapes.
  • E. Mira
    Mira is a town in the Veneto region of northern Italy, situated along the Brenta Canal between Venice and Padua and known for its historic Venetian villas.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Maiar
Triple: [The Silmarillion, featuresRace, Maiar]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Maiar
Target entity description: 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.
  • A. Maera
    Maera is a figure from Greek mythology counted among the many descendants of the Titan Atlas.
  • B. Tigani
    Tigani is the former name of the town now known as Pythagoreio, a historic coastal settlement on the Greek island of Samos.
  • C. 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.
  • D. Mira
    Mira is a coastal municipality in central Portugal known for its beaches, lagoons, and natural landscapes.
  • E. Mira
    Mira is a town in the Veneto region of northern Italy, situated along the Brenta Canal between Venice and Padua and known for its historic Venetian villas.
  • F. None of above. chosen

Provenance (5 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_69c69f3487ec8190bf7acdf2dd91e6d6 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9d39e9481908bec42447c97e3f8 completed March 27, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c861a3263481908a178b99e487bde5 completed March 28, 2026, 11:17 p.m.
NEDg Description generation batch_69c8622eb5fc819092273e49464d0515 completed March 28, 2026, 11:20 p.m.
NED2 Entity disambiguation (via description) batch_69c8631e5c2c8190b1c593ca9bbf039c completed March 28, 2026, 11:24 p.m.
Created at: March 27, 2026, 3:53 p.m.