Triple

T36544972
Position Surface form Disambiguated ID Type / Status
Subject Fanuidhol E901114 entity
Predicate associatedWith P37 FINISHED
Object Elves of Eregion
The Elves of Eregion were a Noldorin realm in Middle-earth renowned for their master craftsmen, including Celebrimbor, who forged many of the Rings of Power in collaboration with the Dwarves of Khazad-dûm.
E2189431 NE FINISHED

How this triple was built (2 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: Elves of Eregion | Statement: [Fanuidhol, associatedWith, Elves of Eregion]
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: Elves of Eregion
Triple: [Fanuidhol, associatedWith, Elves of Eregion]
Generated description
The Elves of Eregion were a Noldorin realm in Middle-earth renowned for their master craftsmen, including Celebrimbor, who forged many of the Rings of Power in collaboration with the Dwarves of Khazad-dûm.

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_69f76e61217081908b79d610fe67b013 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7c25a4dc08190a8724ee75f547fee completed May 3, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a39e6e7f008819084e79eb4c57c7b3b completed June 23, 2026, 1:52 a.m.
NEDg Description generation batch_6a39eac8d58c8190a3460d838efd2cf8 completed June 23, 2026, 2:09 a.m.
NED2 Entity disambiguation (via description) batch_6a39ec59cb748190b664869d96b2b868 completed June 23, 2026, 2:15 a.m.
Created at: May 3, 2026, 4:11 p.m.