Triple
T13222251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bert "Sock" Wysocki |
E314782
|
entity |
| Predicate | settingOfEmployment |
P58315
|
FINISHED |
| Object | big-box home improvement store |
—
|
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: big-box home improvement store | Statement: [Bert "Sock" Wysocki, settingOfEmployment, big-box home improvement store]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingOfEmployment Context triple: [Bert "Sock" Wysocki, settingOfEmployment, big-box home improvement store]
-
A.
settingOfWork
Indicates the place, time, or environment in which a creative work’s narrative or events are situated.
-
B.
stateOfEmployment
Indicates that one entity’s employment status or condition is defined in relation to another entity (such as an employer, position, or employment situation).
-
C.
workSetting
chosen
Indicates the environment, context, or conditions in which the work or activity is carried out.
-
D.
employmentType
Indicates the specific kind or category of employment relationship that exists between an individual and an employer (e.g., full-time, part-time, contract).
-
E.
employedTo
Indicates that one entity is hired or engaged to perform work, services, or duties for 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf74d708190a61d8ad938653b06 |
completed | April 10, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69d98bc938f081909f123bdf1263ff7f |
completed | April 10, 2026, 11:46 p.m. |
Created at: April 9, 2026, 9:18 p.m.