Triple
T27040635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Gangster, the Cop, the Devil |
E684474
|
entity |
| Predicate | hasRemakePlannedIn |
P196740
|
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: [The Gangster, the Cop, the Devil, hasRemakePlannedIn, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRemakePlannedIn Context triple: [The Gangster, the Cop, the Devil, hasRemakePlannedIn, United States]
-
A.
hasRemake
Indicates that one work is a new version or recreation of an earlier existing work.
-
B.
hasSequelRemakeContext
Indicates that one work serves as a sequel or remake of another, continuing or reinterpreting its narrative or context.
-
C.
remakeAppearsIn
Indicates that a remake of a work is featured, shown, or included within a particular context, such as a collection, series, or medium.
-
D.
appearsInRemakeOf
Indicates that an entity appears in a work that is a remake of another original work.
-
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_69ef148193c48190bb1a0cfae6a407c4 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69fe6739d4dc8190ae7505c089bbac29 |
completed | May 8, 2026, 10:44 p.m. |
| PD | Predicate disambiguation | batch_69fe6541dffc81909c66a61ba69f38fc |
completed | May 8, 2026, 10:35 p.m. |
| PDg | Predicate description generation | batch_69fe673905408190a2ae68c2c9563403 |
completed | May 8, 2026, 10:44 p.m. |
Created at: April 27, 2026, 8:04 a.m.