Triple
T5680449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harlequin |
E125185
|
entity |
| Predicate | typicalMaskType |
P65729
|
FINISHED |
| Object | black half-mask |
—
|
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 half-mask | Statement: [Harlequin, typicalMaskType, black half-mask]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalMaskType Context triple: [Harlequin, typicalMaskType, black half-mask]
-
A.
traditionalMaskType
Indicates the specific kind or category of traditional mask associated with an entity.
-
B.
typicalMatchType
Indicates the usual or most common type of match or pairing that characterizes how two entities are related or aligned.
-
C.
typicalTexture
Indicates the usual or characteristic surface feel or consistency that is commonly associated with an entity.
-
D.
maskColor
Indicates the color attribute associated with a mask.
-
E.
faceType
Indicates the specific shape or structural category of a face that an entity possesses or is characterized by.
- 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_69c0082a884c8190a79001bae658941f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0248751bc8190b12aaa42d1ef17e3 |
completed | March 22, 2026, 5:19 p.m. |
| PD | Predicate disambiguation | batch_69c021be59088190a81c880957f666ab |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c024861bc88190a17782c1982fbb3e |
completed | March 22, 2026, 5:19 p.m. |
Created at: March 22, 2026, 3:44 p.m.