Triple
T37252959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chesky Records |
E924041
|
entity |
| Predicate | recordsIn |
P156835
|
FINISHED |
| Object | natural acoustic spaces |
—
|
LITERAL 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: natural acoustic spaces | Statement: [Chesky Records, recordsIn, natural acoustic spaces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recordsIn Context triple: [Chesky Records, recordsIn, natural acoustic spaces]
-
A.
recordsOn
Indicates that one entity documents, stores, or logs information about another entity on a particular medium, system, or date.
-
B.
recordsWith
Indicates that one entity keeps or maintains documented information about another entity or event.
-
C.
recordsType
Indicates that one entity documents, stores, or keeps an official account of a particular type or category of information, event, or item.
-
D.
recordsObject
Indicates that one entity creates or maintains a record of another entity as its subject or content.
-
E.
recordSetIn
chosen
Indicates that a record or recording is associated with, or took place in, a particular setting, location, or context.
- F. None of above.
Provenance (3 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_69f76eaabb4c819093b751b139dad551 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fe189fec148190aeef51b417ba15b0 |
completed | May 8, 2026, 5:08 p.m. |
| PD | Predicate disambiguation | batch_69fe17285b0881908de7569d8dbd20bd |
completed | May 8, 2026, 5:02 p.m. |
Created at: May 3, 2026, 4:15 p.m.