Triple
T9788598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disgust (Inside Out) |
E237548
|
entity |
| Predicate | nationalityOfProduction |
P41843
|
FINISHED |
| Object | American |
—
|
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: American | Statement: [Disgust (Inside Out), nationalityOfProduction, American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nationalityOfProduction Context triple: [Disgust (Inside Out), nationalityOfProduction, American]
-
A.
filmCountryOfOrigin
chosen
Indicates the country where a film was originally produced or created.
-
B.
isProducedIn
Indicates that something is created, manufactured, or generated within a particular place, context, or process.
-
C.
countryOfRelease
Indicates the country in which an item (such as a product, work, or media) was officially released.
-
D.
filmingCountry
Indicates the country where the filming or primary production of a work took place.
-
E.
laterCountryOfOrigin
Indicates that an entity’s country of origin changed, and this predicate specifies the country that became its origin at a later time than a previously associated country.
- 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_69ca84da927881909bda80caecad6010 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda2131164819099e8644e40a3cab6 |
completed | April 1, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69cd03d77c6c81909b675955bf113320 |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:27 p.m.