Triple
T17075410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heidi (1952 film) |
E414333
|
entity |
| Predicate | isAdaptationForMedium |
P60248
|
FINISHED |
| Object | cinema |
—
|
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: cinema | Statement: [Heidi (1952 film), isAdaptationForMedium, cinema]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAdaptationForMedium Context triple: [Heidi (1952 film), isAdaptationForMedium, cinema]
-
A.
hasAdaptedMedium
Indicates that an original work has been transformed or adapted into a different medium or format (e.g., book to film, comic to TV series).
-
B.
isAdaptation
Indicates that one work is derived from, based on, or reinterprets the content of another work.
-
C.
isFromMedium
chosen
Indicates that something originates from, is derived from, or was obtained via a particular medium or channel.
-
D.
screenAdaptationFrom
Indicates that a screen-based work (such as a film or TV show) is an adaptation derived from another source work.
-
E.
hasAdaptationStrategy
Indicates that an entity employs or is associated with a specific method or approach for adapting to changing conditions or requirements.
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbc47808819088a4ca039689b213 |
completed | April 18, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69e35d642f74819098c014135e249b27 |
completed | April 18, 2026, 10:31 a.m. |
Created at: April 10, 2026, 5:34 a.m.