Triple

T29651818
Position Surface form Disambiguated ID Type / Status
Subject Cassadaga E750152 entity
Predicate hasTrack P3284 FINISHED
Object No One Would Riot for Less
"No One Would Riot for Less" is a somber, introspective folk-rock song by Bright Eyes from their 2007 album "Cassadaga."
 E1876287 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: No One Would Riot for Less | Statement: [Cassadaga, hasTrack, No One Would Riot for Less]
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: No One Would Riot for Less
Triple: [Cassadaga, hasTrack, No One Would Riot for Less]
Generated description
"No One Would Riot for Less" is a somber, introspective folk-rock song by Bright Eyes from their 2007 album "Cassadaga."

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_69f0d6226fe881908819197c9ef9ee04 completed April 28, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f66f2505c08190bf02667815ebf89a completed May 2, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2661874d8c8190b03d0b0d787e3adc completed June 8, 2026, 6:30 a.m.
NEDg Description generation batch_6a2665d3199481908fe32ef9959be303 completed June 8, 2026, 6:48 a.m.
NED2 Entity disambiguation (via description) batch_6a266a6166a08190a3ec83291c005e7b completed June 8, 2026, 7:08 a.m.
Created at: April 28, 2026, 6:52 p.m.