Triple
T17206249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Z (film score) |
E417609
|
entity |
| Predicate | basedOnPoliticalContext |
P24043
|
FINISHED |
| Object | Greek military junta era |
—
|
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: Greek military junta era | Statement: [Z (film score), basedOnPoliticalContext, Greek military junta era]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnPoliticalContext Context triple: [Z (film score), basedOnPoliticalContext, Greek military junta era]
-
A.
namedForPoliticalContext
Indicates that something is named in reference to a specific political situation, event, ideology, or figure.
-
B.
involvedPoliticalContext
chosen
Indicates that an entity participated in, was affected by, or is otherwise connected to a particular political situation, environment, or set of political circumstances.
-
C.
basedOnPoliticalProjectOf
Indicates that something is founded upon, derived from, or guided by a particular political project, agenda, or program.
-
D.
statePoliticalContext
Indicates the political situation, structures, or dynamics associated with a particular state or governmental entity.
-
E.
languageOfPoliticalContext
Indicates the language in which a given political context, discourse, or situation is expressed or conducted.
- 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_69d886d6ba8c819093215917b3d01689 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42dc193488190a2c5a48ce7f631a9 |
completed | April 19, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_69e3831e354881908c5505ffd15c84e9 |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:38 a.m.