Triple
T35441788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Journalist (TV series) |
E1024361
|
entity |
| Predicate | basedOnCountryOfOrigin |
P29866
|
FINISHED |
| Object | Japan |
—
|
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: Japan | Statement: [The Journalist (TV series), basedOnCountryOfOrigin, Japan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnCountryOfOrigin Context triple: [The Journalist (TV series), basedOnCountryOfOrigin, Japan]
-
A.
basedOnWorkCountryOfOrigin
chosen
Indicates that something is determined or derived from the country of origin of a work.
-
B.
countryOfOrigin
Indicates the country from which an entity originally comes or was first produced, created, or established.
-
C.
namedAfterCountryOfOrigin
Indicates that an entity is named after the country from which it originates or was first produced.
-
D.
orderCountryOfOrigin
Indicates the country from which an order was originally placed, sourced, or shipped.
-
E.
createdByCountryOfOrigin
Indicates that something was created by the country from which it originally comes or is associated as its origin.
- 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_69f76df8089481909f0018266ee881b7 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff234f32888190a1d800a3bda432eb |
completed | May 9, 2026, 12:06 p.m. |
| PD | Predicate disambiguation | batch_69ff228ae9a0819083f4b97c10b923f4 |
completed | May 9, 2026, 12:03 p.m. |
Created at: May 3, 2026, 4:04 p.m.