Triple
T19812407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tears of Shiva |
E475977
|
entity |
| Predicate | hasNarrativeMotive |
P84537
|
FINISHED |
| Object | Shiva’s compassion for suffering beings |
—
|
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: Shiva’s compassion for suffering beings | Statement: [Tears of Shiva, hasNarrativeMotive, Shiva’s compassion for suffering beings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNarrativeMotive Context triple: [Tears of Shiva, hasNarrativeMotive, Shiva’s compassion for suffering beings]
-
A.
hasNarrative
Indicates that one entity contains, presents, or is associated with a story or narrative about another entity or subject.
-
B.
hasNarrativeRole
Indicates that an entity participates in a narrative with a specific functional role (e.g., protagonist, antagonist, narrator) relative to the story.
-
C.
hasCauseNarrative
Indicates that one entity provides a narrative or explanatory account of the cause or causal background of another entity or event.
-
D.
hasNarrativeEvent
Indicates that one entity includes, contains, or is associated with a specific narrative event within a story or sequence of events.
-
E.
hasMotiveContext
chosen
Indicates that there is contextual information explaining the reasons or motivations behind an action, event, or relationship.
- 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6542c9c5c81908772e88caa067e63 |
completed | April 20, 2026, 4:28 p.m. |
| PD | Predicate disambiguation | batch_69e5305858108190bbbfdb9ba3ab9f80 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:50 p.m.