Triple
T33781307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parklands (film) |
E865662
|
entity |
| Predicate | hasProtagonistRelation |
—
|
GENERATED |
| Object | daughter investigating her late father’s life |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProtagonistRelation Context triple: [Parklands (film), hasProtagonistRelation, daughter investigating her late father’s life]
-
A.
hasProtagonistRelationship
chosen
Indicates that there exists a central, story-driving relationship involving the protagonist and another entity within a narrative.
-
B.
hasProtagonist
Indicates that a work of narrative has a main character who serves as its central focus or driving agent.
-
C.
isFriendOfProtagonist
Indicates that one entity is a friend or close ally of the story’s main character.
-
D.
hasChildProtagonist
Indicates that the work features a child as its main or central character.
-
E.
hasProtagonistFromSource
Indicates that a work’s main character originates from, or is derived from, a specified source (such as another work, franchise, or medium).
- F. None of above.
Provenance (1 batch)
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_69f3498ecc2c8190bcd85e3f11dc215e |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:45 a.m.