Triple

T31169936
Position Surface form Disambiguated ID Type / Status
Subject Weird Fishes/Arpeggi E794576 entity
Predicate hasLiveVersion P18107 FINISHED
Object From the Basement performance
The "From the Basement" performance is an intimate, live-in-studio session series created by producer Nigel Godrich, known for its high-fidelity recordings and close-up, audience-free performances by artists such as Radiohead.
 E1949303 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: From the Basement performance | Statement: [Weird Fishes/Arpeggi, hasLiveVersion, From the Basement performance]
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: From the Basement performance
Triple: [Weird Fishes/Arpeggi, hasLiveVersion, From the Basement performance]
Generated description
The "From the Basement" performance is an intimate, live-in-studio session series created by producer Nigel Godrich, known for its high-fidelity recordings and close-up, audience-free performances by artists such as Radiohead.

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_69f224d5b9708190b6ca79ad2fd3a28a completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f698ad83a08190a6834056ccc3e3a4 completed May 3, 2026, 12:37 a.m.
NED1 Entity disambiguation (via context triple) batch_6a294732938c81908eb4e32da8190b0c completed June 10, 2026, 11:14 a.m.
NEDg Description generation batch_6a294806b68c8190986962f5fa3711cf completed June 10, 2026, 11:18 a.m.
NED2 Entity disambiguation (via description) batch_6a2948bb63e4819083a1e9d149cddac6 completed June 10, 2026, 11:21 a.m.
Created at: April 29, 2026, 9:07 p.m.