Triple
T38660706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nanda |
E940324
|
entity |
| Predicate | vowedCelibacy |
P40813
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Nanda, vowedCelibacy, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vowedCelibacy Context triple: [Nanda, vowedCelibacy, yes]
-
A.
vowedCelibacyWith
Indicates a mutual commitment between entities to abstain from sexual or romantic relationships, typically formalized as a shared vow of celibacy.
-
B.
tookReligiousVows
chosen
Indicates that an entity formally committed to a religious life by taking recognized vows within a religious tradition.
-
C.
tookReligiousVowsOn
Indicates that an entity formally committed to religious vows on a specific date or occasion.
-
D.
traditionallyCelibate
Indicates that an entity is expected or required, by tradition or custom, to remain unmarried and abstain from sexual relationships.
-
E.
vowedVirtue
Indicates that an entity has formally promised or committed to uphold a particular virtue or moral quality.
- 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_69f76edfde348190bf6529d9f49ecd62 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdfbc71c481908ba7f87907b17782 |
completed | May 7, 2026, 6:53 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe580b8819087f143596b2c79c0 |
completed | May 7, 2026, 6:37 p.m. |
Created at: May 3, 2026, 4:33 p.m.