Triple
T30584196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kakusandha Buddha |
E778459
|
entity |
| Predicate | firstFiveDisciples |
P203948
|
FINISHED |
| Object | a group of five ascetics |
—
|
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: a group of five ascetics | Statement: [Kakusandha Buddha, firstFiveDisciples, a group of five ascetics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstFiveDisciples Context triple: [Kakusandha Buddha, firstFiveDisciples, a group of five ascetics]
-
A.
disciplesType
Indicates the specific category or kind of discipleship relationship that exists between the involved entities.
-
B.
wasDiscipleOf
Indicates that one entity served as a disciple, student, or follower under the guidance or teaching of another entity.
-
C.
hasDisciplesAndFollowersTradition
Indicates that an entity has an associated tradition concerning its disciples and followers, including how they are understood, organized, or transmitted over time.
-
D.
numberOfApostles
Indicates the specific count of apostles associated with an entity.
-
E.
oneOfFourEvangelists
Indicates that the subject is one member of the traditional group of four Evangelists (Matthew, Mark, Luke, and John).
- F. None of above. chosen
Provenance (4 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_69f224a04b248190b0ca443ec86207b8 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a02fcbe03d0819082d3dd715ed41623 |
completed | May 12, 2026, 10:11 a.m. |
| PD | Predicate disambiguation | batch_6a02fc62138081908d2dbc5db7541d13 |
completed | May 12, 2026, 10:09 a.m. |
| PDg | Predicate description generation | batch_6a02fcbd67c8819089827d38434063a1 |
completed | May 12, 2026, 10:11 a.m. |
Created at: April 29, 2026, 8:23 p.m.