Triple
T24870144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Jour Se Lève |
E622394
|
entity |
| Predicate | remakeCountry |
P157421
|
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: [Le Jour Se Lève, remakeCountry, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: remakeCountry Context triple: [Le Jour Se Lève, remakeCountry, United States]
-
A.
inspiredRemakeCountry
Indicates that a remake produced in one country was inspired by an original work from another country.
-
B.
renamingCountry
Indicates that one country is changing its official name to a new one.
-
C.
refitCountry
Indicates that an entity has been refitted, upgraded, or overhauled in the specified country.
-
D.
countryAfterReplacement
Indicates that one country takes the place of another as a successor or replacement in a given context or role.
-
E.
remadeFor
Indicates that one work has been recreated or adapted specifically for another context, audience, or medium.
- 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_69e2fac3fdbc81909c2ec49be5743cd9 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f43043512481909501a3979cac9947 |
completed | May 1, 2026, 4:46 a.m. |
| PD | Predicate disambiguation | batch_69f420fd375c81908ea4a4e60b76ee8f |
completed | May 1, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f4303fad6c8190844f069164f0904d |
completed | May 1, 2026, 4:46 a.m. |
Created at: April 18, 2026, 5:23 a.m.