Triple
T32193249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Third from the Sun |
E822323
|
entity |
| Predicate | scriptAdaptationType |
P4427
|
FINISHED |
| Object | short story adaptation |
—
|
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: short story adaptation | Statement: [Third from the Sun, scriptAdaptationType, short story adaptation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scriptAdaptationType Context triple: [Third from the Sun, scriptAdaptationType, short story adaptation]
-
A.
scriptAdaptationFrom
Indicates that a script is adapted or derived from a pre-existing source work (such as a book, play, or earlier script).
-
B.
scriptType
chosen
Indicates the classification or category of a script, specifying what kind of script it is (e.g., its format, purpose, or scripting language type).
-
C.
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.
-
D.
isAdaptation
Indicates that one work is derived from, based on, or reinterprets the content of another work.
-
E.
adaptationType
Indicates the specific kind or category of adaptation that relates one entity to another or to a particular context.
- 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_69f3490819cc81909bae1f8ce99423c5 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f7c29e1b848190b945c6c6120a5330 |
completed | May 3, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b6e7a881908deb96bedb2713f4 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 1, 2026, 12:35 a.m.