Triple
T29218014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magnification |
E740726
|
entity |
| Predicate | hasNoFull‑timeKeyboardist |
P200450
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Magnification, hasNoFull‑timeKeyboardist, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNoFull‑timeKeyboardist Context triple: [Magnification, hasNoFull‑timeKeyboardist, true]
-
A.
hasFormerKeyboardist
Indicates that an entity previously had another entity serving as its keyboardist, but that person is no longer in that role.
-
B.
has contributing keyboardist
Indicates that an entity includes a keyboardist who contributes performance or recording work to it.
-
C.
hasRhythmSection
Indicates that an entity (such as a musical group or piece) includes or is associated with a rhythm section component.
-
D.
hasDrummer
Indicates that one entity serves as the drummer for, or plays drums in, another entity such as a band or musical group.
-
E.
usesOrchestraInsteadOfKeyboardist
Indicates that an arrangement or performance employs an orchestra in place of a keyboardist.
- F. None of above. chosen
Provenance (4 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_69f07cba2f808190a2746477d4e8345b |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69ff8ba3f8248190bbdf8e7ec2b35093 |
completed | May 9, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69ff8b41ba988190a7332e8317d10f09 |
completed | May 9, 2026, 7:30 p.m. |
| PDg | Predicate description generation | batch_69ff8ba329e08190813e728f0d1bd973 |
completed | May 9, 2026, 7:31 p.m. |
Created at: April 28, 2026, 12:14 p.m.