Triple
T19707606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Narakasura |
E473255
|
entity |
| Predicate | defeatSymbolizes |
P137024
|
FINISHED |
| Object | triumph of good over evil |
—
|
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: triumph of good over evil | Statement: [Narakasura, defeatSymbolizes, triumph of good over evil]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: defeatSymbolizes Context triple: [Narakasura, defeatSymbolizes, triumph of good over evil]
-
A.
defeat
Indicates that one entity wins against and overcomes another in a contest, conflict, or competition.
-
B.
defeatEffect
Indicates that one entity’s defeat causes a particular outcome or change to occur for another entity or the overall situation.
-
C.
defeatedBy
Indicates that one entity has been beaten, overcome, or conquered by another in a contest, conflict, or competition.
-
D.
defeatedDespite
Indicates that one entity successfully defeated another entity even though circumstances or expectations suggested that defeat would be unlikely or difficult.
-
E.
methodOfDefeat
Indicates the specific way or technique by which one entity defeats or overcomes another.
- F. None of above. chosen
Provenance (4 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_69d8e516dd048190a0b6c93ea3e71f58 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e642bb5cd4819090e4c62bd74c4324 |
completed | April 20, 2026, 3:14 p.m. |
| PD | Predicate disambiguation | batch_69e530438c60819082364c7be3eef6f0 |
completed | April 19, 2026, 7:42 p.m. |
| PDg | Predicate description generation | batch_69e532bbedf081908d801600e2af94a7 |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 1:46 p.m.