Triple
T32193077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jason Foster |
E822315
|
entity |
| Predicate | maskEffect |
P173301
|
FINISHED |
| Object | permanently reshapes wearers’ faces |
—
|
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: permanently reshapes wearers’ faces | Statement: [Jason Foster, maskEffect, permanently reshapes wearers’ faces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maskEffect Context triple: [Jason Foster, maskEffect, permanently reshapes wearers’ faces]
-
A.
maskColor
Indicates the color attribute associated with a mask.
-
B.
maskOrGimmick
Indicates that one entity serves as a mask, disguise, or gimmick used by another entity, typically to conceal identity or create a particular impression.
-
C.
maskDecoration
Indicates that one entity serves as a decorative element or embellishment applied to a mask.
-
D.
mask
Indicates that one entity covers, conceals, or obscures another entity, typically to hide its identity, appearance, or specific features.
-
E.
maskStyle
Indicates the style or design characteristics of a mask used or worn in the described context.
- 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_69f3490819cc81909bae1f8ce99423c5 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bb35369c8190992fe7dad36a2a9d |
completed | May 3, 2026, 3:04 a.m. |
| PD | Predicate disambiguation | batch_69f6b3aa892481908d29283a074e6722 |
completed | May 3, 2026, 2:32 a.m. |
| PDg | Predicate description generation | batch_69f6b42902a081909126c7322858a2b3 |
completed | May 3, 2026, 2:34 a.m. |
Created at: May 1, 2026, 12:35 a.m.