Triple

T28761173
Position Surface form Disambiguated ID Type / Status
Subject Townes Van Zandt E726117 entity
Predicate notableAlbum P4 FINISHED
Object Our Mother the Mountain
Our Mother the Mountain is a 1969 folk and country album by singer-songwriter Townes Van Zandt, acclaimed for its dark, poetic songwriting and haunting atmosphere.
 E1835053 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: Our Mother the Mountain | Statement: [Townes Van Zandt, notableAlbum, Our Mother the Mountain]
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: Our Mother the Mountain
Triple: [Townes Van Zandt, notableAlbum, Our Mother the Mountain]
Generated description
Our Mother the Mountain is a 1969 folk and country album by singer-songwriter Townes Van Zandt, acclaimed for its dark, poetic songwriting and haunting atmosphere.

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_69f03198be14819098fa74e48b3749bf completed April 28, 2026, 4:03 a.m.
NER Named-entity recognition batch_69f657ff370081908e1c595bbd3fcdc5 completed May 2, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a24bb94f27481909d5239ca27d40e87 completed June 7, 2026, 12:30 a.m.
NEDg Description generation batch_6a24c0f0e5648190a73d60125c9548ce completed June 7, 2026, 12:53 a.m.
NED2 Entity disambiguation (via description) batch_6a24c15501848190b3775dedd2e3e7fb completed June 7, 2026, 12:54 a.m.
Created at: April 28, 2026, 6:11 a.m.