Triple
T5147724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fender Mike Dirnt Precision Bass |
E116114
|
entity |
| Predicate | neckProfile |
P49300
|
FINISHED |
| Object | thick C-shaped neck |
—
|
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: thick C-shaped neck | Statement: [Fender Mike Dirnt Precision Bass, neckProfile, thick C-shaped neck]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: neckProfile Context triple: [Fender Mike Dirnt Precision Bass, neckProfile, thick C-shaped neck]
-
A.
neckCharacteristic
chosen
Indicates that an entity has a specific attribute, feature, or quality related to its neck.
-
B.
headProportion
Indicates the proportional relationship between the size of an entity’s head and a reference measure, such as its body or overall height.
-
C.
headShape
Indicates the characteristic form or contour of an entity’s head.
-
D.
legCharacteristic
Indicates a characteristic, property, or attribute that specifically pertains to the legs of an entity.
-
E.
collarFeature
Indicates that one entity has a specific characteristic, detail, or attribute related to a collar.
- 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_69bd4446c0e08190a7c29dc74976bf03 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd78d7f4d081908d59adcd86f52f1d |
completed | March 20, 2026, 4:42 p.m. |
| PD | Predicate disambiguation | batch_69bd77ae2f10819098bb8939106e1281 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:43 p.m.