Triple

T26827720
Position Surface form Disambiguated ID Type / Status
Subject Fëanor E675415 entity
Predicate epessë P161513 FINISHED
Object Fëanáro
Fëanáro is the Quenya name of Fëanor, the greatest of the Noldorin Elves in Tolkien’s legendarium, famed for his fiery spirit and for creating the Silmarils.
 E1751338 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: Fëanáro | Statement: [Fëanor, epessë, Fëanáro]
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: Fëanáro
Triple: [Fëanor, epessë, Fëanáro]
Generated description
Fëanáro is the Quenya name of Fëanor, the greatest of the Noldorin Elves in Tolkien’s legendarium, famed for his fiery spirit and for creating the Silmarils.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: epessë
Context triple: [Fëanor, epessë, Fëanáro]
  • A. epok
    Indicates a temporal relationship where one event or state occurs during, within, or in the same time period as another.
  • B. EP
    Indicates a relationship where one entity is an executive producer (EP) of another entity, typically bearing primary production responsibility or credit.
  • C. era
    Indicates that something existed, occurred, or was valid during a specified historical or temporal period.
  • D. eve
    Indicates a relationship where one entity is the evening or night-time counterpart, phase, or occurrence associated with another entity.
  • E. PSE
    Indicates a relationship where one entity is engaged in or associated with a public service or public sector employment role relative to another entity or context.
  • F. None of above. chosen

Provenance (7 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_69eee9b776448190993a60b67fcc9545 completed April 27, 2026, 4:44 a.m.
NER Named-entity recognition batch_69f61ada00d48190b6f4c52e6bd33789 completed May 2, 2026, 3:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1229847bac81908db3370e106f1fcb completed May 23, 2026, 10:26 p.m.
NEDg Description generation batch_6a122b1547d48190993350cd89974e90 completed May 23, 2026, 10:32 p.m.
NED2 Entity disambiguation (via description) batch_6a122c19dd14819093692713467547d5 completed May 23, 2026, 10:37 p.m.
PD Predicate disambiguation batch_69f611ad2eb48190ac1ed0090f13f7a9 completed May 2, 2026, 3:01 p.m.
PDg Predicate description generation batch_69f6142a0b988190b404d078f73c3cb9 completed May 2, 2026, 3:11 p.m.
Created at: April 27, 2026, 4:59 a.m.