Triple
T32193078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jason Foster |
E822315
|
entity |
| Predicate | maskPurpose |
P173302
|
FINISHED |
| Object | to expose the inner ugliness of his relatives |
—
|
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: to expose the inner ugliness of his relatives | Statement: [Jason Foster, maskPurpose, to expose the inner ugliness of his relatives]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maskPurpose Context triple: [Jason Foster, maskPurpose, to expose the inner ugliness of his relatives]
-
A.
maskStatus
Indicates whether an entity is wearing a mask, not wearing one, or has an unspecified mask-wearing state.
-
B.
usesMasking
Indicates that one entity applies or employs a masking technique or mechanism in relation to another entity or process.
-
C.
mask
Indicates that one entity covers, conceals, or obscures another entity, typically to hide its identity, appearance, or specific features.
-
D.
maskReintroduced
Indicates that the use of masks has been reinstated after previously being relaxed or removed.
-
E.
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.
- 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.