Triple
T36292545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gloria Bell |
E893268
|
entity |
| Predicate | remakeOfCountryOfOrigin |
P185106
|
FINISHED |
| Object | Chile |
—
|
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: Chile | Statement: [Gloria Bell, remakeOfCountryOfOrigin, Chile]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: remakeOfCountryOfOrigin Context triple: [Gloria Bell, remakeOfCountryOfOrigin, Chile]
-
A.
remakeOfFilmBy
Indicates that one film is a remake created by a specific filmmaker or director of an earlier film.
-
B.
inspiredRemakeCountry
Indicates that a remake produced in one country was inspired by an original work from another country.
-
C.
remakeCountry
Indicates that one country is a remake, reboot, or re-created version of another country in some defined context.
-
D.
remadeFor
Indicates that one work has been recreated or adapted specifically for another context, audience, or medium.
-
E.
remakeOfSwedishFilm
Indicates that one work is a remake of an original film that was produced in Sweden.
- 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_69f76e4a61f0819084a2b68dbbb4efc6 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7bb1d6b70819091227bd011734d19 |
completed | May 3, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a4aad48190a62e41c5e39339d9 |
completed | May 3, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69f7ba6c27e081908868a2b50d1d603c |
completed | May 3, 2026, 9:13 p.m. |
Created at: May 3, 2026, 4:09 p.m.