Triple
T19731062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sutasoma |
E473853
|
entity |
| Predicate | isPandavaSon |
P137122
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Sutasoma, isPandavaSon, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPandavaSon Context triple: [Sutasoma, isPandavaSon, true]
-
A.
hasPuppetCharacter
Indicates that one entity features, includes, or is associated with a particular puppet character as part of its content or composition.
-
B.
sonWithDharma
Indicates a parent–child relationship where the child is a son whose birth or status is in accordance with dharma (righteous or proper duty/law).
-
C.
isPivotalForCharacter
Indicates that something plays a crucial, defining role in shaping a character’s development, decisions, or narrative arc.
-
D.
sonWithIndra
Indicates a parent–child relationship where the child is a son associated with or born to Indra.
-
E.
isFictionalCharacter
Indicates that the subject is a character that exists only in fiction rather than in real life.
- 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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e649fd18148190a6e85b2be0069dde |
completed | April 20, 2026, 3:45 p.m. |
| PD | Predicate disambiguation | batch_69e5304a7aac8190ac13f75f0c008e45 |
completed | April 19, 2026, 7:43 p.m. |
| PDg | Predicate description generation | batch_69e532bbedf081908d801600e2af94a7 |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 1:47 p.m.