Triple
T25514771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaundinya |
E639473
|
entity |
| Predicate | relationshipToBuddha |
P189700
|
FINISHED |
| Object | first fully enlightened disciple |
—
|
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: first fully enlightened disciple | Statement: [Kaundinya, relationshipToBuddha, first fully enlightened disciple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToBuddha Context triple: [Kaundinya, relationshipToBuddha, first fully enlightened disciple]
-
A.
familyRelationToBuddha
Indicates a familial relationship that an entity has to the Buddha, such as being a relative or family member of him.
-
B.
associatedBuddha
Indicates a relationship where something is linked or connected to a particular Buddha, such as being attributed to, dedicated to, or representing that Buddha.
-
C.
relationshipToMahāpajāpatīGotamī
Indicates the specific familial or relational connection an entity has to Mahāpajāpatī Gotamī.
-
D.
relationshipToMonk
Indicates the specific type of relationship an entity has to a monk, such as familial, social, or institutional connection.
-
E.
relationshipToRumi
Indicates the specific familial, social, or interpersonal connection that an entity has to Rumi.
- 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_69e75dbe32e48190a62d749a0ff2a96a |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69fbca6c066c8190a1599202f341417f |
completed | May 6, 2026, 11:10 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ec03ac8190a757563f96fab283 |
completed | May 6, 2026, 11:04 p.m. |
| PDg | Predicate description generation | batch_69fbc9d0854c8190aa00093274afebb8 |
completed | May 6, 2026, 11:08 p.m. |
Created at: April 21, 2026, 2:55 p.m.