Triple
T9677320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kidville |
E234190
|
entity |
| Predicate | genreOfWorkSetting |
P89582
|
FINISHED |
| Object | holiday special |
—
|
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: holiday special | Statement: [Kidville, genreOfWorkSetting, holiday special]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreOfWorkSetting Context triple: [Kidville, genreOfWorkSetting, holiday special]
-
A.
settingOfWorks
Indicates that a place or environment serves as the primary setting where the events or narratives of one or more works take place.
-
B.
genreOfWorkEnvironment
Indicates the type or style of work environment associated with a particular job, role, or organization.
-
C.
settingOfWork
Indicates the place, time, or environment in which a creative work’s narrative or events are situated.
-
D.
narrativeSettingOfWork
Indicates that a particular place, time, or context serves as the narrative setting in which a work’s story or events occur.
-
E.
basedOnWorkGenre
Indicates that one entity’s genre classification is derived from or determined by the genre of another work.
- 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_69ca84c99e34819092e5563a7106cfca |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9c99ee0481908ead5f7112117c90 |
completed | April 1, 2026, 10:30 p.m. |
| PD | Predicate disambiguation | batch_69ccd5b5d40c8190850ad7a351445f32 |
completed | April 1, 2026, 8:22 a.m. |
| PDg | Predicate description generation | batch_69ccd9408c848190b84dd74d87f76273 |
completed | April 1, 2026, 8:37 a.m. |
Created at: March 30, 2026, 8:16 p.m.