Triple
T10491684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The IRS Tapes: Who'll Buy My Memories? |
E247434
|
entity |
| Predicate | hasRecordingStyle |
P89583
|
FINISHED |
| Object | minimalist production |
—
|
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: minimalist production | Statement: [The IRS Tapes: Who'll Buy My Memories?, hasRecordingStyle, minimalist production]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRecordingStyle Context triple: [The IRS Tapes: Who'll Buy My Memories?, hasRecordingStyle, minimalist production]
-
A.
recordingStyle
chosen
Indicates the manner or technique used to capture or document something, such as audio, video, or data.
-
B.
hasLooseRecordingStyle
Indicates that an entity’s method of recording is characterized by a relaxed, unstructured, or informal style.
-
C.
hasRecordingContract
Indicates that an entity is formally bound by an agreement to produce recordings for another entity, typically a record label or similar organization.
-
D.
recordingMethod
Indicates the technique or process used to capture or record something (such as data, audio, or video).
-
E.
hasRecordingWith
Indicates that one entity is associated with or includes a particular recording as part of its content or representation.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5097e1c888190bc8e039f2e46181e |
completed | April 7, 2026, 1:41 p.m. |
| PD | Predicate disambiguation | batch_69d4fb8e24ac8190912c9f11b8bd3084 |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:24 p.m.