Triple
T15460057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nightwatch (1994 film) |
E371873
|
entity |
| Predicate | remadeInLanguage |
P36901
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [Nightwatch (1994 film), remadeInLanguage, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: remadeInLanguage Context triple: [Nightwatch (1994 film), remadeInLanguage, English]
-
A.
remakeLanguage
chosen
Indicates that one entity creates a new version or adaptation of another entity in a different language.
-
B.
hasRemake
Indicates that one work is a new version or recreation of an earlier existing work.
-
C.
remakeFeature
Indicates that one work is a new version or adaptation created by redoing or updating the features of an earlier work.
-
D.
inspiredRemakeCountry
Indicates that a remake produced in one country was inspired by an original work from another country.
-
E.
remasteredVersion
Indicates that one entity is a newly produced, higher-quality audio or visual version of another original recording or release.
- 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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f17663c8190b995c7c3129c90d6 |
completed | April 16, 2026, 1:44 a.m. |
| PD | Predicate disambiguation | batch_69ded284bd008190b31c53b4f1cebadd |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:32 a.m.