Triple

T27554023
Position Surface form Disambiguated ID Type / Status
Subject Aldarion and Erendis E695585 entity
Predicate protagonistRegnalName P163281 FINISHED
Object Tar-Aldarion
Tar-Aldarion is a Númenórean king from J.R.R. Tolkien’s legendarium, renowned as a great mariner whose seafaring ambitions strained his marriage to Erendis and shaped Númenor’s early expansion.
E1793672 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: Tar-Aldarion | Statement: [Aldarion and Erendis, protagonistRegnalName, Tar-Aldarion]
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: Tar-Aldarion
Triple: [Aldarion and Erendis, protagonistRegnalName, Tar-Aldarion]
Generated description
Tar-Aldarion is a Númenórean king from J.R.R. Tolkien’s legendarium, renowned as a great mariner whose seafaring ambitions strained his marriage to Erendis and shaped Númenor’s early expansion.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: protagonistRegnalName
Context triple: [Aldarion and Erendis, protagonistRegnalName, Tar-Aldarion]
  • A. tookRegnalName
    Indicates that a person adopted and used a specific official regnal name upon assuming a throne or sovereign rulership.
  • B. coronatedPersonRegnalName
    Indicates the official regnal name that a person assumes upon being coronated.
  • C. regentOf
    Indicates a relationship where one entity serves as the ruling authority or caretaker governing on behalf of another entity, typically during the latter’s minority, absence, or incapacity.
  • D. regentFullName
    Indicates that the value is the complete formal name of the person serving as regent.
  • E. monarchName
    Indicates the personal name or official regnal name of a monarch in the relationship.
  • 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_69ef5387e97c8190a9dab040d21cd048 completed April 27, 2026, 12:16 p.m.
NER Named-entity recognition batch_69f6369a22688190a5674191c90a5d12 completed May 2, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a13032c81e88190a3f5d689bd1b9bff completed May 24, 2026, 1:54 p.m.
NEDg Description generation batch_6a1303a301c08190af09fa8b1ec1d47a completed May 24, 2026, 1:56 p.m.
NED2 Entity disambiguation (via description) batch_6a13057d68408190bb5e5855121f5195 completed May 24, 2026, 2:04 p.m.
PD Predicate disambiguation batch_69f631871c888190bf29466fe4254e51 completed May 2, 2026, 5:16 p.m.
PDg Predicate description generation batch_69f6359d46b88190922dd7de508e3b0e completed May 2, 2026, 5:34 p.m.
Created at: April 27, 2026, 1:36 p.m.