Triple
T22153195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Midwich |
E547465
|
entity |
| Predicate | workTypeOfSetting |
P147191
|
FINISHED |
| Object | science fiction novel |
—
|
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: science fiction novel | Statement: [Midwich, workTypeOfSetting, science fiction novel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workTypeOfSetting Context triple: [Midwich, workTypeOfSetting, science fiction novel]
-
A.
workSetting
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.
typeOfWork
Indicates the kind or category of work associated with or performed by an entity.
-
E.
featuresWorkType
Indicates that an entity includes, supports, or is characterized by a particular type or category of 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_69e11e3b52088190ad5df386d01eb2fb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129f5a740819093628386732b91a6 |
completed | April 28, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69e71b41555881909b8e22718974d527 |
completed | April 21, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e7222d208c819098b12c13e31af629 |
completed | April 21, 2026, 7:07 a.m. |
Created at: April 16, 2026, 8:33 p.m.