Triple
T19281016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sandipani Muni |
E482186
|
entity |
| Predicate | guruDakshinaRequest |
P135427
|
FINISHED |
| Object | restoration of his dead son |
—
|
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: restoration of his dead son | Statement: [Sandipani Muni, guruDakshinaRequest, restoration of his dead son]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: guruDakshinaRequest Context triple: [Sandipani Muni, guruDakshinaRequest, restoration of his dead son]
-
A.
studFeeRecord
Indicates a recorded transaction or agreement specifying the fee charged for breeding services involving a particular stud.
-
B.
tuitionPayableTo
Indicates that a specified amount of tuition is owed or must be paid to a particular recipient or institution.
-
C.
guru
Indicates that one entity serves as a spiritual teacher, guide, or mentor to another entity.
-
D.
tuitionFee
Indicates the amount of money that must be paid for instruction or enrollment in an educational program.
-
E.
linkedToGuru
Indicates a relationship where an entity is connected or associated with a guru, typically implying guidance, mentorship, or spiritual affiliation.
- 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fbfdfaf481909e0434f33053cc62 |
completed | April 20, 2026, 10:12 a.m. |
| PD | Predicate disambiguation | batch_69e4dd07a7208190afcd51ba1dc87c33 |
completed | April 19, 2026, 1:47 p.m. |
| PDg | Predicate description generation | batch_69e4df51ac6c819091ce72b07790ffa6 |
completed | April 19, 2026, 1:57 p.m. |
Created at: April 10, 2026, 1:30 p.m.