Triple
T7495037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Partha Sarathi |
E177100
|
entity |
| Predicate | portraysAspectOfKrishna |
P70606
|
FINISHED |
| Object | friendship |
—
|
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: friendship | Statement: [Partha Sarathi, portraysAspectOfKrishna, friendship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysAspectOfKrishna Context triple: [Partha Sarathi, portraysAspectOfKrishna, friendship]
-
A.
roleInKrishnaLife
Indicates the specific role or function an entity plays in the life, activities, or narrative associated with Krishna.
-
B.
portraysPurushaAs
Indicates that one entity represents or depicts another entity as Purusha, the cosmic or primordial being.
-
C.
portrayalOfGungaDin
Indicates that one entity is a depiction, representation, or performance of the character Gunga Din.
-
D.
emphasizesAspectOfDeity
chosen
Indicates that one entity highlights, stresses, or draws special attention to a particular attribute, role, or dimension of a deity.
-
E.
viewsRadhaAs
Indicates that one entity regards or perceives Radha in a particular way or role.
- 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_69c69f2583808190bd1a4936c42a5815 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f81b431481908214b69c6c8d83bc |
completed | March 27, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d266d88190982cf5d2ee2e9564 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:43 p.m.