Triple
T4607858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samuel |
E100480
|
entity |
| Predicate | madeVow |
P9696
|
FINISHED |
| Object | Nazarite vow |
—
|
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: Nazarite vow | Statement: [Samuel, madeVow, Nazarite vow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: madeVow Context triple: [Samuel, madeVow, Nazarite vow]
-
A.
hasOathTo
Indicates a relationship in which one entity is bound by an oath or sworn commitment to another entity.
-
B.
primaryVows
chosen
Indicates that an entity has made or is bound by its main or foundational vows, promises, or commitments in a given context.
-
C.
oath
Indicates a formal, binding promise or pledge made by one party to uphold certain duties, truths, or obligations, often under conditions of solemnity or authority.
-
D.
tookReligiousVows
Indicates that an entity formally committed to a religious life by taking recognized vows within a religious tradition.
-
E.
swornInOn
Indicates that an individual formally assumes an office, role, or duty by taking an official oath on a specified date, occasion, or object.
- 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_69bd43cce1e08190a07d53af6a9b6c24 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd599debdc81909d11d0e871c666bb |
completed | March 20, 2026, 2:28 p.m. |
| PD | Predicate disambiguation | batch_69bd522e2d5c8190937d0b5574f78f99 |
completed | March 20, 2026, 1:57 p.m. |
Created at: March 20, 2026, 1:12 p.m.