Triple

T36252394
Position Surface form Disambiguated ID Type / Status
Subject The Chase E891837 entity
Predicate hasTrack P3284 FINISHED
Object Night Rider's Lament
"Night Rider's Lament" is a classic cowboy and Western folk song, widely covered by country and folk artists for its humorous yet wistful portrayal of a night herder’s life on the range.
E2174839 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: Night Rider's Lament | Statement: [The Chase, hasTrack, Night Rider's Lament]
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: Night Rider's Lament
Triple: [The Chase, hasTrack, Night Rider's Lament]
Generated description
"Night Rider's Lament" is a classic cowboy and Western folk song, widely covered by country and folk artists for its humorous yet wistful portrayal of a night herder’s life on the range.

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_69f76e4599108190811532e707d6bc2c completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7b5fbbf548190bba73f385cc5afd4 completed May 3, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a394d4c310c8190986263c4158496b4 completed June 22, 2026, 2:57 p.m.
NEDg Description generation batch_6a394f1e98988190b1a44c79d95e6c0b completed June 22, 2026, 3:05 p.m.
NED2 Entity disambiguation (via description) batch_6a394f9b84008190b401b1484aaaebaa completed June 22, 2026, 3:07 p.m.
Created at: May 3, 2026, 4:09 p.m.