Triple
T34367887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sparta Police Department |
E882065
|
entity |
| Predicate | adaptationSourceContext |
P128758
|
FINISHED |
| Object | In the Heat of the Night (1967 film) universe |
—
|
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: In the Heat of the Night (1967 film) universe | Statement: [Sparta Police Department, adaptationSourceContext, In the Heat of the Night (1967 film) universe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adaptationSourceContext Context triple: [Sparta Police Department, adaptationSourceContext, In the Heat of the Night (1967 film) universe]
-
A.
adaptationOrigin
chosen
Indicates the source or basis from which an adaptation is derived or developed.
-
B.
adaptationType
Indicates the specific kind or category of adaptation that relates one entity to another or to a particular context.
-
C.
adaptedWithin
Indicates that one entity has been modified, adjusted, or tailored to function appropriately within the context, scope, or boundaries defined by another entity.
-
D.
originContext
Indicates the situational or environmental circumstances from which an entity, event, or piece of information originates.
-
E.
adaptationIn
Indicates that something appears, is represented, or takes place within a particular adaptation of an original work.
- 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_69f349be5c9c81908dc726ae1f4c68f2 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f73ae120bc8190bff94d38d7a7a00d |
completed | May 3, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69f73a38d0848190aa5139144b8561c6 |
completed | May 3, 2026, 12:06 p.m. |
Created at: May 1, 2026, 1:58 a.m.