Triple
T26853472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sergio Castellitto |
E676118
|
entity |
| Predicate | basedFilmOnNovelBy |
P174194
|
FINISHED |
| Object | Margaret Mazzantini |
—
|
NE NERFINISHED |
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: Margaret Mazzantini | Statement: [Sergio Castellitto, basedFilmOnNovelBy, Margaret Mazzantini]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedFilmOnNovelBy Context triple: [Sergio Castellitto, basedFilmOnNovelBy, Margaret Mazzantini]
-
A.
bookAdaptedInto
Indicates that a book has been turned into another work, typically in a different medium such as a film, TV series, or play.
-
B.
filmBasedOnAuthor
chosen
Indicates that a film is based on works or writings created by a specific author.
-
C.
filmBasedOn
Indicates that a film is adapted from or derived from the story, characters, or events of another work.
-
D.
novelTitleAdaptedFrom
Indicates that the title of one work is derived from, based on, or adapted from the title of another work.
-
E.
inFilmAdaptation
Indicates that one work or element appears within, or is incorporated into, a film adaptation of another 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_69eee9b9d7708190a15d7485709ae981 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f71996e1a48190ac59a1d66d7c44e8 |
completed | May 3, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69f71820c6c88190ab38b4fa626d22cc |
completed | May 3, 2026, 9:40 a.m. |
Created at: April 27, 2026, 5:19 a.m.