Triple
T25510985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gabrielle Van der Mal |
E639377
|
entity |
| Predicate | filmAdaptationOfCharacterIn |
P114853
|
FINISHED |
| Object | The Nun's Story (1959 film) |
—
|
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: The Nun's Story (1959 film) | Statement: [Gabrielle Van der Mal, filmAdaptationOfCharacterIn, The Nun's Story (1959 film)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmAdaptationOfCharacterIn Context triple: [Gabrielle Van der Mal, filmAdaptationOfCharacterIn, The Nun's Story (1959 film)]
-
A.
filmAdaptationOfWork
Indicates that a film is an adaptation based on the narrative content of a specific original work.
-
B.
filmAdaptationStarred
chosen
Indicates that a particular person played a starring role in a specific film adaptation of a work.
-
C.
inFilmAdaptation
Indicates that one work or element appears within, or is incorporated into, a film adaptation of another work.
-
D.
filmAdaptationOfLife
Indicates that a film is an adaptation based on the life or real-life experiences of a person or group.
-
E.
adaptedIntoFilmStarring
Indicates that a work has been adapted into a film in which a specified actor or set of actors star.
- 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_69e75dbd09308190b6b5f0afdc12ec6d |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f80b05ac8190a4a0cd75e8717917 |
completed | May 2, 2026, 1:11 p.m. |
| PD | Predicate disambiguation | batch_69f480789be08190ab252a6de3797200 |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 2:49 p.m.