Triple
T20622397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doyle Wolfgang von Frankenstein |
E506731
|
entity |
| Predicate | designedInstrument |
P140810
|
FINISHED |
| Object | custom-made Annihilator guitar |
—
|
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: custom-made Annihilator guitar | Statement: [Doyle Wolfgang von Frankenstein, designedInstrument, custom-made Annihilator guitar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designedInstrument Context triple: [Doyle Wolfgang von Frankenstein, designedInstrument, custom-made Annihilator guitar]
-
A.
inspiredInstrument
Indicates that one entity served as the creative inspiration or model for the design, creation, or development of another instrument.
-
B.
typeOfInstrument
Indicates the specific kind or category of instrument associated with an entity.
-
C.
musicInstrumentation
Indicates the specific instruments or instrumental forces used to perform a piece of music.
-
D.
dedicatedInstrument
Indicates that one entity serves as a specific, exclusive instrument or tool used for the purposes of another entity or activity.
-
E.
studiedByInstrument
Indicates that something is examined, measured, or analyzed through the use of a specific instrument or device.
- 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_69e0b4bc90988190ac360aaf645efc1d |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6abe25c208190af057bcd1aa6219d |
completed | April 20, 2026, 10:42 p.m. |
| PD | Predicate disambiguation | batch_69e5a00c43308190b7ea58d559257e07 |
completed | April 20, 2026, 3:39 a.m. |
| PDg | Predicate description generation | batch_69e5a6a9f3f88190b961db9aca36f7da |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 16, 2026, 11:42 a.m.