Triple
T32041686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clan DunBroch |
E818233
|
entity |
| Predicate | filmStudioCountry |
P173148
|
FINISHED |
| Object | United States |
—
|
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: United States | Statement: [Clan DunBroch, filmStudioCountry, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmStudioCountry Context triple: [Clan DunBroch, filmStudioCountry, United States]
-
A.
filmCountryOfOrigin
Indicates the country where a film was originally produced or created.
-
B.
filmingCountry
Indicates the country where the filming or primary production of a work took place.
-
C.
productionCountryOfWorkAppearsIn
Indicates that a country is the production country of a work in which a given entity appears.
-
D.
nationalCinema
Indicates that a film or cinematic work is associated with, produced by, or representative of a particular nation’s cinema.
-
E.
countryOfFilming
Indicates the country where the filming or production of a work physically took place.
- F. None of above. chosen
Provenance (4 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_69f348fcfb648190859f6be5e04b7cfe |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b4bcc61c8190a90130852b240b6a |
completed | May 3, 2026, 2:36 a.m. |
| PD | Predicate disambiguation | batch_69f6b154b3dc819087115f5f63f7b00f |
completed | May 3, 2026, 2:22 a.m. |
| PDg | Predicate description generation | batch_69f6b267b90c8190807208cadce5ae8d |
completed | May 3, 2026, 2:26 a.m. |
Created at: May 1, 2026, 12:19 a.m.