Triple
T2172432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | If I Only Had a Brain |
E48455
|
entity |
| Predicate | followsInFilm |
P22734
|
FINISHED |
| Object | Dorothy meets the Scarecrow scene |
—
|
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: Dorothy meets the Scarecrow scene | Statement: [If I Only Had a Brain, followsInFilm, Dorothy meets the Scarecrow scene]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followsInFilm Context triple: [If I Only Had a Brain, followsInFilm, Dorothy meets the Scarecrow scene]
-
A.
includedInFilm
chosen
Indicates that one entity (such as a scene, segment, or element) is contained within or forms part of a particular film.
-
B.
partOfFilmographyOf
Indicates that a work (such as a film, show, or role) is included in the body of screen-related works credited to a particular person.
-
C.
filmAssociatedWith
Indicates a general relationship or connection between a film and another entity, such as a person, organization, event, or work.
-
D.
producedFilm
Indicates that one entity served as the producer (or production company) responsible for making or financing the creation of a particular film.
-
E.
hasSequelShotBackToBackWith
Indicates that two sequels were filmed consecutively or simultaneously as part of the same production schedule.
- 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_69a88aa3faa48190995b233af6525815 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc1559ff481908efe3f214b2570dc |
completed | March 7, 2026, 6:10 a.m. |
| PD | Predicate disambiguation | batch_69abbd9efc1c81909a65044a1ffc9038 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:45 p.m.