Triple
T35081074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wisteria Lane |
E1012436
|
entity |
| Predicate | backlotLocatedAt |
P7951
|
FINISHED |
| Object | Universal Studios Hollywood |
—
|
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: Universal Studios Hollywood | Statement: [Wisteria Lane, backlotLocatedAt, Universal Studios Hollywood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: backlotLocatedAt Context triple: [Wisteria Lane, backlotLocatedAt, Universal Studios Hollywood]
-
A.
hasBacklot
chosen
Indicates that one entity possesses or includes a backlot area associated with it.
-
B.
formerFilmingLocation
Indicates that a place was once used as a filming location for a work but is no longer used for that purpose.
-
C.
filmingStudio
Indicates that a studio is responsible for producing or filming a particular audiovisual work.
-
D.
placeOfShooting
Indicates the location where a shooting event took place.
-
E.
filmStudioLot
Indicates a relationship where a film studio owns, operates, or is associated with a specific studio lot or production facility.
- 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_69f76dd32c008190853aef6028f60208 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78ce78b508190955848e133398dc8 |
completed | May 3, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69f78b8f4cc08190b49fccd798cb25d7 |
completed | May 3, 2026, 5:53 p.m. |
Created at: May 3, 2026, 4:01 p.m.