Triple
T12834203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Good Fairy (1935) |
E306862
|
entity |
| Predicate | screenplayNotableFor |
P107147
|
FINISHED |
| Object | witty dialogue |
—
|
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: witty dialogue | Statement: [The Good Fairy (1935), screenplayNotableFor, witty dialogue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: screenplayNotableFor Context triple: [The Good Fairy (1935), screenplayNotableFor, witty dialogue]
-
A.
screenplayAwardedBy
Indicates that a screenplay has received an award from a particular awarding body or organization.
-
B.
screenplayWrittenFor
Indicates that a screenplay was written specifically for a particular film, show, or production.
-
C.
screenwriterOfWorkFeaturing
Indicates that one entity is the screenwriter responsible for creating the screenplay for a work in which the other entity appears or is featured.
-
D.
screenplayRecord
Indicates that there exists a record or documentation associated with a particular screenplay, capturing information about its creation, version, or related details.
-
E.
screenwriterOfWork
Indicates that a person served as the screenwriter (wrote the screenplay) for a particular creative work.
- F. None of above. chosen
Provenance (4 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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9714208f881908f7f8a921362909a |
completed | April 10, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69d96fa08cd481909a946046ba63809f |
completed | April 10, 2026, 9:46 p.m. |
| PDg | Predicate description generation | batch_69d9713e45a88190acd346f066093550 |
completed | April 10, 2026, 9:53 p.m. |
Created at: April 9, 2026, 5:34 p.m.