Triple

T27276023
Position Surface form Disambiguated ID Type / Status
Subject Alex Cline E688194 entity
Predicate notableWork P4 FINISHED
Object The Lamp and the Star
The Lamp and the Star is an album by American jazz drummer and composer Alex Cline, showcasing his exploratory, spiritually inflected approach to avant-garde jazz and improvisation.
E1765013 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: The Lamp and the Star | Statement: [Alex Cline, notableWork, The Lamp and the Star]
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: The Lamp and the Star
Triple: [Alex Cline, notableWork, The Lamp and the Star]
Generated description
The Lamp and the Star is an album by American jazz drummer and composer Alex Cline, showcasing his exploratory, spiritually inflected approach to avant-garde jazz and improvisation.

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_69ef3558cf8881909595ef89daf6e14a completed April 27, 2026, 10:07 a.m.
NER Named-entity recognition batch_69f62727f80c8190bbf5d9a8dc50ab79 completed May 2, 2026, 4:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1262914c608190a9780855e97e6083 completed May 24, 2026, 2:29 a.m.
NEDg Description generation batch_6a1268eb06cc8190a9bcb4397775c34c completed May 24, 2026, 2:56 a.m.
NED2 Entity disambiguation (via description) batch_6a126983a194819093db115c63acc22f completed May 24, 2026, 2:59 a.m.
Created at: April 27, 2026, 11:02 a.m.