Triple

T33915885
Position Surface form Disambiguated ID Type / Status
Subject Energy E869450 entity
Predicate hasTrack P3284 FINISHED
Object Lay It on the Line
"Lay It on the Line" is a song by the Canadian rock band Triumph, known as one of their signature melodic hard rock tracks.
 E2073612 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: Lay It on the Line | Statement: [Energy, hasTrack, Lay It on the Line]
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: Lay It on the Line
Triple: [Energy, hasTrack, Lay It on the Line]
Generated description
"Lay It on the Line" is a song by the Canadian rock band Triumph, known as one of their signature melodic hard rock tracks.

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_69f3499869bc8190b6c33a81686af226 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f701b535bc8190904c605a2f43760a completed May 3, 2026, 8:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a36824de5c481909f8cc5f4cb2da8cd completed June 20, 2026, 12:06 p.m.
NEDg Description generation batch_6a3682dfc590819087dfb9300523ad9d completed June 20, 2026, 12:09 p.m.
NED2 Entity disambiguation (via description) batch_6a36848248c081909b5ab57a8c3accc6 completed June 20, 2026, 12:16 p.m.
Created at: May 1, 2026, 1:48 a.m.