Triple

T10200492
Position Surface form Disambiguated ID Type / Status
Subject Heir of Elendil E238870 entity
Predicate heldBy P8 FINISHED
Object Arvedui
Arvedui was the last king of Arthedain in J.R.R. Tolkien’s legendarium, whose claim to the thrones of both Arnor and Gondor marked the final chapter of the northern Dúnedain kingdom.
 E847344 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: Arvedui | Statement: [Heir of Elendil, heldBy, Arvedui]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arvedui
Context triple: [Heir of Elendil, heldBy, Arvedui]
  • A. Davian
    Davian is a masculine given name, often considered a modern variant of names like David or Davin.
  • B. Alvarus
    Alvarus is a Latinized variant of the given name Alvar, historically used in medieval and ecclesiastical contexts.
  • C. Haradh
    Haradh is a major oil-producing area in eastern Saudi Arabia, known for hosting part of the vast Ghawar oil field and associated petroleum infrastructure.
  • D. Vallader
    Vallader is a major dialect of the Romansh language spoken primarily in Switzerland’s Lower Engadine region and used in local literature and education.
  • E. Erigon
    Erigon is a high-performance, modular Ethereum execution client focused on efficient resource usage and fast synchronization.
  • 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: Arvedui
Triple: [Heir of Elendil, heldBy, Arvedui]
Generated description
Arvedui was the last king of Arthedain in J.R.R. Tolkien’s legendarium, whose claim to the thrones of both Arnor and Gondor marked the final chapter of the northern Dúnedain kingdom.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arvedui
Target entity description: Arvedui was the last king of Arthedain in J.R.R. Tolkien’s legendarium, whose claim to the thrones of both Arnor and Gondor marked the final chapter of the northern Dúnedain kingdom.
  • A. Davian
    Davian is a masculine given name, often considered a modern variant of names like David or Davin.
  • B. Alvarus
    Alvarus is a Latinized variant of the given name Alvar, historically used in medieval and ecclesiastical contexts.
  • C. Haradh
    Haradh is a major oil-producing area in eastern Saudi Arabia, known for hosting part of the vast Ghawar oil field and associated petroleum infrastructure.
  • D. Vallader
    Vallader is a major dialect of the Romansh language spoken primarily in Switzerland’s Lower Engadine region and used in local literature and education.
  • E. Erigon
    Erigon is a high-performance, modular Ethereum execution client focused on efficient resource usage and fast synchronization.
  • 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_69ca84e1ea088190b38162e43d4cfa8f completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdee3f3bac8190a63a81edffe7cda7 completed April 2, 2026, 4:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69d317f40f0c8190a3d966c934cc20f7 completed April 6, 2026, 2:18 a.m.
NEDg Description generation batch_69d3188886908190ba0a5539ce942980 completed April 6, 2026, 2:20 a.m.
NED2 Entity disambiguation (via description) batch_69d31c4fb8288190bbc6b3d4a79dafb1 completed April 6, 2026, 2:37 a.m.
Created at: March 30, 2026, 9:14 p.m.