Triple
T22264557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kanaka Dasa |
E550314
|
entity |
| Predicate | occupationBeforeRenunciation |
P87379
|
FINISHED |
| Object | chieftain |
—
|
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: chieftain | Statement: [Kanaka Dasa, occupationBeforeRenunciation, chieftain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: occupationBeforeRenunciation Context triple: [Kanaka Dasa, occupationBeforeRenunciation, chieftain]
-
A.
professionBeforeMonasticLife
chosen
Indicates the occupation or professional role a person held prior to entering monastic life.
-
B.
occupationBeforeDeification
Indicates the role, job, or position an entity held prior to being deified or elevated to divine status.
-
C.
earlierOccupation
Indicates that one occupation held by an entity occurred before another occupation in that entity’s work history.
-
D.
characterFormerOccupation
Indicates that a character previously held a specific occupation but no longer does.
-
E.
professionAfterReincarnation
Indicates the profession or occupation an entity holds after being reincarnated.
- 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_69e11e42adb8819087714772ea606709 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f141ba5c9481909e24067133918ae2 |
completed | April 28, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69e72fe1e0cc8190bd13cff2a0846225 |
completed | April 21, 2026, 8:05 a.m. |
Created at: April 16, 2026, 8:39 p.m.