Triple
T28522591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battleground |
E721825
|
entity |
| Predicate | adaptationNotableFeature |
P134991
|
FINISHED |
| Object | almost no spoken dialogue |
—
|
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: almost no spoken dialogue | Statement: [Battleground, adaptationNotableFeature, almost no spoken dialogue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adaptationNotableFeature Context triple: [Battleground, adaptationNotableFeature, almost no spoken dialogue]
-
A.
adaptationNotable
chosen
Indicates that one work has an adaptation that is particularly significant, prominent, or noteworthy in relation to it.
-
B.
adaptationDetail
Indicates that additional information is provided about how something has been adapted or modified from its original form.
-
C.
adaptationIncludes
Indicates that an adaptation incorporates, contains, or makes use of a particular component, element, or feature as part of its adapted form.
-
D.
adaptationStar
Indicates that one work is an adaptation of another, with the subject being the adapted work and the object being the original source.
-
E.
adaptationIn
Indicates that something appears, is represented, or takes place within a particular adaptation of an original work.
- 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_69f01a5cbcc4819083fb4e723378713e |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f65f7731e4819099d5bd3d915ee266 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f65c2198208190a3954086c22cfcbf |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 3:21 a.m.