Triple
T313161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Concerto Barocco |
E7648
|
entity |
| Predicate | originalCostumeColor |
P11861
|
FINISHED |
| Object | black |
—
|
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: black | Statement: [Concerto Barocco, originalCostumeColor, black]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalCostumeColor Context triple: [Concerto Barocco, originalCostumeColor, black]
-
A.
costumeType
Indicates the specific kind or category of costume associated with an entity.
-
B.
awayUniformColorPrimary
Indicates the primary color used for an entity’s away (non-home) uniform.
-
C.
originallyCoveredBy
Indicates that something was first protected, reported on, or documented by a particular source, medium, or entity before any others.
-
D.
homeUniformColorPrimary
Indicates the primary color used for an entity’s home uniform in a given context.
-
E.
colorOftenUsed
Indicates that a particular color is frequently used or commonly applied in relation to something.
- 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_69a2e7e7af7881908890039d6be4e9b8 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ea4bd6a081909bdb57602c7093b4 |
completed | Feb. 28, 2026, 1:14 p.m. |
| PD | Predicate disambiguation | batch_69a2e9428098819089d5950cd2c96dc4 |
completed | Feb. 28, 2026, 1:10 p.m. |
| PDg | Predicate description generation | batch_69a2ea08878c8190a5e8a90f620a3888 |
completed | Feb. 28, 2026, 1:13 p.m. |
Created at: Feb. 28, 2026, 1:07 p.m.