Triple

T15798166
Position Surface form Disambiguated ID Type / Status
Subject The Microphones E383032 entity
Predicate release P5043 FINISHED
Object Mount Eerie E831818 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: Mount Eerie | Statement: [The Microphones, release, Mount Eerie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Eerie
Context triple: [The Microphones, release, Mount Eerie]
  • A. Mount Eerie chosen
    Mount Eerie is the indie music project of American songwriter and producer Phil Elverum, known for its intimate, experimental, and nature-infused recordings.
  • B. Yonah Mountain
    Yonah Mountain is a prominent granite peak and popular hiking destination in the southern Appalachian foothills of northeast Georgia.
  • C. Black Mountain
    Black Mountain is a rugged, scenic mountain range in the western part of the Brecon Beacons in Wales, known for its remote moorlands, lakes, and dramatic escarpments.
  • D. Black Mountain
    Black Mountain is a prominent natural hill and landmark in Canberra, Australia, known for its bushland reserve and the Telstra Tower on its summit.
  • E. Black Mountain
    Black Mountain is a Canadian rock band known for its heavy, psychedelic sound and association with the indie label Jagjaguwar.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b4def80481908f72733ce9133bc6 completed April 16, 2026, 10:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffa12f92e48190bc2886f4070cfc70 completed May 9, 2026, 9:03 p.m.
Created at: April 10, 2026, 4:48 a.m.