Triple
T20412231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vanara |
E500612
|
entity |
| Predicate | narrativeAlignment |
P74485
|
FINISHED |
| Object | forces of dharma |
—
|
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: forces of dharma | Statement: [Vanara, narrativeAlignment, forces of dharma]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: narrativeAlignment Context triple: [Vanara, narrativeAlignment, forces of dharma]
-
A.
alignmentInStory
chosen
Indicates how a character’s moral or ethical stance (e.g., good, neutral, evil) is portrayed within the context of a specific story.
-
B.
narrativeStrategy
Indicates the method or approach used to structure, present, or convey a story or sequence of events.
-
C.
narrativelyCenteredIn
Indicates that an event, character, or element is positioned as the primary focus or organizing center of a narrative within a given context.
-
D.
narrativeEffect
Indicates how one event, action, or element in a story influences the progression, tone, or interpretation of the overall narrative.
-
E.
narrativeConnection
Indicates a meaningful relationship between elements within a narrative, such as events, characters, or scenes, that links them in terms of plot, causality, or thematic continuity.
- 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a3f8fdc8190b05b6c41b38f34b7 |
completed | April 20, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69e5765d7cb48190adec18d6d1e3d263 |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 16, 2026, 11:30 a.m.