Triple
T4936426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vishvamitra |
E110821
|
entity |
| Predicate | attainedStatus |
P38040
|
FINISHED |
| Object | Brahmin through tapas |
—
|
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: Brahmin through tapas | Statement: [Vishvamitra, attainedStatus, Brahmin through tapas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attainedStatus Context triple: [Vishvamitra, attainedStatus, Brahmin through tapas]
-
A.
achievementStatus
Indicates the current state or level of completion of an achievement-related goal or milestone for an entity.
-
B.
obtainedStatus
chosen
Indicates that an entity has received or achieved a particular status or condition as a result of some process or event.
-
C.
statusGrantedOn
Indicates the date or time at which a particular status was officially conferred or became effective for an entity.
-
D.
awardedStatus
Indicates that a particular status, honor, or designation has been formally granted to an entity.
-
E.
status
Indicates the current condition, state, or standing of an entity within a given context.
- 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_69bd4415eee08190bdce70276e56a5b4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd7085b1dc819099408f6503f0210f |
completed | March 20, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_69bd6c389b9881908ad7fb1c5393c1b1 |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:30 p.m.