Triple
T21686586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moral Tales for Young People |
E535243
|
entity |
| Predicate | hasNarrativeGoal |
P42284
|
FINISHED |
| Object | to teach moral lessons |
—
|
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: to teach moral lessons | Statement: [Moral Tales for Young People, hasNarrativeGoal, to teach moral lessons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNarrativeGoal Context triple: [Moral Tales for Young People, hasNarrativeGoal, to teach moral lessons]
-
A.
narrativeGoal
chosen
Indicates that one entity has a desired outcome or objective within a story or narrative context that drives their actions or development.
-
B.
hasNarrative
Indicates that one entity contains, presents, or is associated with a story or narrative about another entity or subject.
-
C.
hasFictionalGoal
Indicates that an entity is associated with a goal or objective that exists only within a fictional, imagined, or narrative context.
-
D.
hasNarrativeRole
Indicates that an entity participates in a narrative with a specific functional role (e.g., protagonist, antagonist, narrator) relative to the story.
-
E.
hasNarrativeOutcome
Indicates that an event, action, or narrative element leads to or results in a particular story-related consequence or resolution.
- 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_69e0c469b6ec8190aee4cadd1527db91 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef96cb69f081908ed0c7ebea429898 |
completed | April 27, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69e6968abfdc81909cf9e0bd72db9eca |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:44 p.m.