Triple
T11608645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geta Beraya |
E275324
|
entity |
| Predicate | drumheadType |
P100584
|
FINISHED |
| Object | double-headed drum |
—
|
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: double-headed drum | Statement: [Geta Beraya, drumheadType, double-headed drum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drumheadType Context triple: [Geta Beraya, drumheadType, double-headed drum]
-
A.
hasDrumheadCount
Indicates the number of drumheads associated with or present on a drum or drum-like object.
-
B.
hasSoundHole
Indicates that one entity possesses or features a sound hole as a characteristic or component.
-
C.
helmetType
Indicates the specific category or style of helmet associated with an entity.
-
D.
headbandMaterial
Indicates the material from which a headband is made.
-
E.
headType
Indicates the specific kind or category of head associated with an entity (e.g., type of head part, head role, or head classification in a structure or system).
- 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_69d6aaf84b548190ac072e4fb89ae18f |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a04231d08190b8a07cd977d11ffa |
completed | April 10, 2026, 7:01 a.m. |
| PD | Predicate disambiguation | batch_69d85dd20d188190863d1190d4c16048 |
completed | April 10, 2026, 2:17 a.m. |
| PDg | Predicate description generation | batch_69d87f2e67108190ac36bf47aac12fa8 |
completed | April 10, 2026, 4:40 a.m. |
Created at: April 8, 2026, 9:38 p.m.