Triple
T37570816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eyo masqueraders |
E934682
|
entity |
| Predicate | mainColorOfCostume |
P80914
|
FINISHED |
| Object | white |
—
|
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: white | Statement: [Eyo masqueraders, mainColorOfCostume, white]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainColorOfCostume Context triple: [Eyo masqueraders, mainColorOfCostume, white]
-
A.
colorAssociatedWithCostume
Indicates that a particular color is thematically or typically linked to a specific costume.
-
B.
originalCostumeColor
Indicates the color that a costume originally had before any changes, damage, or alterations.
-
C.
hasColorDominanceInCostume
chosen
Indicates that a particular color is the most prominent or visually dominant element in an entity’s costume.
-
D.
bestCostumeDesignColor
Indicates that an entity received or is associated with an award for best costume design in a color film or color category.
-
E.
mascotColor
Indicates the color associated with a particular mascot.
- 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_69f76ecd99148190be327e391a70f5b6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd91a5dad8819093eeeef527027890 |
completed | May 8, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69fd8f65fe9081908902500a3228d935 |
completed | May 8, 2026, 7:23 a.m. |
Created at: May 3, 2026, 4:17 p.m.