Triple
T27961124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glamour Greece |
E704577
|
entity |
| Predicate | contentAdaptation |
P64758
|
FINISHED |
| Object | tailored to Greek culture |
—
|
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: tailored to Greek culture | Statement: [Glamour Greece, contentAdaptation, tailored to Greek culture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contentAdaptation Context triple: [Glamour Greece, contentAdaptation, tailored to Greek culture]
-
A.
screenAdaptationFrom
Indicates that a screen-based work (such as a film or TV show) is an adaptation derived from another source work.
-
B.
mediaAdaptationSettingOf
Indicates that a media adaptation (such as a film, series, or game) is set in the narrative world or environment of a particular original work.
-
C.
isAdaptation
Indicates that one work is derived from, based on, or reinterprets the content of another work.
-
D.
screenAdaptationOfGenre
Indicates that a screen production (such as a film or TV show) is an adaptation of a work belonging to a specified genre.
-
E.
adaptationStyle
chosen
Indicates how an entity adjusts or modifies its behavior, form, or strategy in response to changing conditions or influences.
- 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_69ef841061e48190b5570f9562f7434d |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f6a28c7c148190bfc980aad9f678ca |
completed | May 3, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69f69fe1e3c88190830bb2e9f407357e |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 27, 2026, 7:31 p.m.