Triple
T33501787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Long Home |
E858006
|
entity |
| Predicate | principalPhotographyLocation |
P164663
|
FINISHED |
| Object | Cincinnati |
—
|
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: Cincinnati | Statement: [The Long Home, principalPhotographyLocation, Cincinnati]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: principalPhotographyLocation Context triple: [The Long Home, principalPhotographyLocation, Cincinnati]
-
A.
placeOfShooting
Indicates the location where a shooting event took place.
-
B.
filmingLocationContext
Indicates the contextual relationship specifying where the filming of an event, scene, or production took place.
-
C.
formerFilmingLocation
Indicates that a place was once used as a filming location for a work but is no longer used for that purpose.
-
D.
notableFilmingLocation
Indicates that a place served as a significant or well-known location where a film or television production was shot.
-
E.
filmingLocationCity
chosen
Indicates the city where the filming or recording of a work took place.
- 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_69f3497660508190a541826a81f7e9ab |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc5740fc81909774a4f65201a3ff |
completed | May 3, 2026, 7:42 a.m. |
Created at: May 1, 2026, 1:38 a.m.