Triple
T30584204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kakusandha Buddha |
E778459
|
entity |
| Predicate | chiefPatronFemale |
P64780
|
FINISHED |
| Object | Nandā |
—
|
NE NERFINISHED |
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: Nandā | Statement: [Kakusandha Buddha, chiefPatronFemale, Nandā]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chiefPatronFemale Context triple: [Kakusandha Buddha, chiefPatronFemale, Nandā]
-
A.
patroness
chosen
Indicates that a female person supports, sponsors, or acts as a benefactor for someone or something.
-
B.
patronessOfCountry
Indicates that a female patron (often a saint or protective figure) serves as the spiritual or symbolic guardian of a specific country.
-
C.
chiefQueen
Indicates that one entity is the primary or highest-ranking queen in relation to another entity.
-
D.
cityPatroness
Indicates that a female patron or protective figure is associated with and regarded as the guardian or benefactor of a particular city.
-
E.
chiefMistressOf
Indicates that one person is the primary or most important mistress (non-marital romantic or sexual partner) of another person.
- 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_69f224a04b248190b0ca443ec86207b8 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f697eabb048190bc01a830f14942c6 |
completed | May 3, 2026, 12:33 a.m. |
| PD | Predicate disambiguation | batch_69f69664142c8190bc695501056b0236 |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 8:23 p.m.