Triple
T16612012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ethel "Sunshine" Akalino |
E403596
|
entity |
| Predicate | workSettingType |
P58315
|
FINISHED |
| Object | showroom |
—
|
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: showroom | Statement: [Ethel "Sunshine" Akalino, workSettingType, showroom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workSettingType Context triple: [Ethel "Sunshine" Akalino, workSettingType, showroom]
-
A.
workSetting
chosen
Indicates the environment, context, or conditions in which the work or activity is carried out.
-
B.
settingOfWork
Indicates the place, time, or environment in which a creative work’s narrative or events are situated.
-
C.
worksInSetting
Indicates that an entity performs its activities or functions within a specified environment, context, or setting.
-
D.
workMode
Indicates the manner, configuration, or operational state in which an entity performs its work or function.
-
E.
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).
- 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e36096356c819092815d64db041793 |
completed | April 18, 2026, 10:44 a.m. |
| PD | Predicate disambiguation | batch_69e296aabc508190b3836a91b49113ad |
completed | April 17, 2026, 8:23 p.m. |
Created at: April 10, 2026, 5:17 a.m.