Triple
T25408029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Small Town Girl |
E636609
|
entity |
| Predicate | hasFilmStudioLot |
P25830
|
FINISHED |
| Object | MGM Studios, Culver City |
—
|
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: MGM Studios, Culver City | Statement: [Small Town Girl, hasFilmStudioLot, MGM Studios, Culver City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFilmStudioLot Context triple: [Small Town Girl, hasFilmStudioLot, MGM Studios, Culver City]
-
A.
filmStudioLot
chosen
Indicates a relationship where a film studio owns, operates, or is associated with a specific studio lot or production facility.
-
B.
filmingStudio
Indicates that a studio is responsible for producing or filming a particular audiovisual work.
-
C.
hasStudiosIn
Indicates that an entity operates or maintains studio facilities located in a specified place or region.
-
D.
hasStudio
Indicates that an entity (such as a film, game, or production) is associated with or produced by a particular studio.
-
E.
producedForStudio
Indicates that a work (such as a film, show, or recording) was created under contract for, and on behalf of, a particular studio.
- 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_69e75db361d881908d8701c856da6413 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f6a8df16a88190a23820e64a3b1f92 |
completed | May 3, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69f6a751d5e48190a77dcecbe7ef9f0b |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 21, 2026, 1:52 p.m.