Triple
T26873880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gloria Jones |
E676689
|
entity |
| Predicate | originalRecordingOf |
P142066
|
FINISHED |
| Object | Tainted Love |
—
|
NE NERFINISHED |
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: Tainted Love | Statement: [Gloria Jones, originalRecordingOf, Tainted Love]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalRecordingOf Context triple: [Gloria Jones, originalRecordingOf, Tainted Love]
-
A.
recordedOriginalVersionOf
chosen
Indicates that one entity captured or produced the first or initial version of another entity in a recording.
-
B.
originalMaterialRecorded
Indicates that a recording was made directly from the original material, rather than from a copy or derivative source.
-
C.
originallyRecordedFor
Indicates that a work or performance was first recorded with the specific purpose of being used, released, or presented in the context of the target entity.
-
D.
usesOriginalVocalsFrom
Indicates that one work incorporates the original, unaltered vocal recordings from another work.
-
E.
recordingOf
Indicates that one entity is an audio or video capture or performance that documents, represents, or preserves another entity (such as a work, event, or expression).
- 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_69eee9bb44988190b6e11652d028bc59 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69fd4f39b5008190b83b3227ce22c509 |
completed | May 8, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69fd4df17c548190a4e2a6fea70f7e10 |
completed | May 8, 2026, 2:44 a.m. |
Created at: April 27, 2026, 5:34 a.m.