Triple
T26175045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Damat Ferit |
E654514
|
entity |
| Predicate | hasScreenAdaptation |
P121220
|
FINISHED |
| Object | Hababam Sınıfı television broadcasts |
—
|
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: Hababam Sınıfı television broadcasts | Statement: [Damat Ferit, hasScreenAdaptation, Hababam Sınıfı television broadcasts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasScreenAdaptation Context triple: [Damat Ferit, hasScreenAdaptation, Hababam Sınıfı television broadcasts]
-
A.
screenAdaptationFrom
chosen
Indicates that a screen-based work (such as a film or TV show) is an adaptation derived from another source work.
-
B.
screenAdaptationOfGenre
Indicates that a screen production (such as a film or TV show) is an adaptation of a work belonging to a specified genre.
-
C.
isAdaptive
Indicates that an entity can adjust or modify its behavior, structure, or response in reaction to changing conditions or inputs.
-
D.
supportsContentsScale
Indicates that an object can adjust its content rendering to match a specified display or screen scale factor.
-
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_69ee5b45873c81909499203612d05d07 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f66c5c13808190887180099745673b |
completed | May 2, 2026, 9:27 p.m. |
| PD | Predicate disambiguation | batch_69f66abddc448190a488852f8abdeb2c |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 26, 2026, 8:37 p.m.