Triple
T9070240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spalding Professor of Eastern Religions and Ethics at the University of Oxford |
E217345
|
entity |
| Predicate | purpose |
P79
|
FINISHED |
| Object | advancement of research in ethics and moral philosophy related to Asian traditions |
—
|
LITERAL FINISHED |
How this triple was built (1 step)
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: advancement of research in ethics and moral philosophy related to Asian traditions | Statement: [Spalding Professor of Eastern Religions and Ethics at the University of Oxford, purpose, advancement of research in ethics and moral philosophy related to Asian traditions]
Provenance (2 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_69ca83d5a7f48190b16c1e59bd43ede0 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc955d29548190a204efd3257b6d5d |
completed | April 1, 2026, 3:47 a.m. |
Created at: March 30, 2026, 7:11 p.m.