Triple
T22767988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Master Gardener |
E563177
|
entity |
| Predicate | protagonistBackstory |
P38047
|
FINISHED |
| Object | dark violent past |
—
|
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: dark violent past | Statement: [Master Gardener, protagonistBackstory, dark violent past]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: protagonistBackstory Context triple: [Master Gardener, protagonistBackstory, dark violent past]
-
A.
protagonistBackground
chosen
Indicates that one entity serves as the background, history, or prior circumstances of the protagonist entity in a narrative or story.
-
B.
protagonistDescription
Indicates that a text provides a descriptive summary or characterization of the story’s main protagonist.
-
C.
hasProtagonistBackground
Indicates that a work or narrative features a specified background or origin story for its main protagonist.
-
D.
roleInCharacterBackstory
Indicates that one entity plays a specific role or part in shaping another entity’s character backstory or personal history.
-
E.
protagonistOrigin
Indicates that one entity is the origin, source, or starting point of the protagonist in a narrative or story.
- 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_69e24552e11c81909c2d61578a558bd7 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17a81d3348190b005a43a5e03d406 |
completed | April 29, 2026, 3:26 a.m. |
| PD | Predicate disambiguation | batch_69eed2b88d88819096015deb6a648801 |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:27 p.m.