Triple
T5680476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harlequin |
E125185
|
entity |
| Predicate | maskCovers |
P52868
|
FINISHED |
| Object | upper half of the face |
—
|
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: upper half of the face | Statement: [Harlequin, maskCovers, upper half of the face]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maskCovers Context triple: [Harlequin, maskCovers, upper half of the face]
-
A.
maskColor
Indicates the color attribute associated with a mask.
-
B.
coverUpBy
Indicates that one entity conceals, suppresses, or hides the actions, information, or wrongdoing associated with another entity.
-
C.
mayCover
chosen
Indicates that one entity is permitted or able to extend over, include, or provide coverage for another entity, either partially or fully.
-
D.
traditionalMaskType
Indicates the specific kind or category of traditional mask associated with an entity.
-
E.
coversMode
Indicates that one entity includes, addresses, or supports a particular mode or manner of operation associated with another entity.
- 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_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. |
Created at: March 22, 2026, 3:44 p.m.