Triple

T29715541
Position Surface form Disambiguated ID Type / Status
Subject Tim Bowness E751896 entity
Predicate notableWork P4 FINISHED
Object Late Night Laments
Late Night Laments is a melancholic, atmospheric art-rock album by British musician Tim Bowness, known for its introspective lyrics and lush, cinematic production.
E1881306 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: Late Night Laments | Statement: [Tim Bowness, notableWork, Late Night Laments]
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: Late Night Laments
Triple: [Tim Bowness, notableWork, Late Night Laments]
Generated description
Late Night Laments is a melancholic, atmospheric art-rock album by British musician Tim Bowness, known for its introspective lyrics and lush, cinematic production.

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_69f0d62748848190b030d0a703629a7d completed April 28, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f672dcd4b88190828b19990dfe6ed9 completed May 2, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a26aa7841e88190a226621e900b2cca completed June 8, 2026, 11:41 a.m.
NEDg Description generation batch_6a26b02c0ca88190b6b079c2f986de82 completed June 8, 2026, 12:06 p.m.
NED2 Entity disambiguation (via description) batch_6a26b4f2ca348190b487f39e75b45b4f completed June 8, 2026, 12:26 p.m.
Created at: April 28, 2026, 7:33 p.m.