Triple
T20342866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pancha Tattva |
E495783
|
entity |
| Predicate | memberRole_3 |
P139763
|
FINISHED |
| Object | Advaita Acharya as combined incarnation of Maha Vishnu and Shiva |
—
|
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: Advaita Acharya as combined incarnation of Maha Vishnu and Shiva | Statement: [Pancha Tattva, memberRole_3, Advaita Acharya as combined incarnation of Maha Vishnu and Shiva]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memberRole_3 Context triple: [Pancha Tattva, memberRole_3, Advaita Acharya as combined incarnation of Maha Vishnu and Shiva]
-
A.
servesRole
Indicates that one entity performs, fulfills, or occupies a particular function, position, or responsibility in relation to another entity.
-
B.
libraryRole
Indicates the specific function, responsibility, or position an entity holds within the context of a library.
-
C.
roleInClub
Indicates that an entity holds a specific position or function within a particular club.
-
D.
roleInCouncil
Indicates that an entity holds a specific position or function within a council or governing body.
-
E.
ClientRole
Indicates that an entity participates in a relationship or interaction specifically in the capacity of a client.
- 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_69e0b4a3320881909495ae8bc30bc2dc |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67836b72081908be65115abdb37bf |
completed | April 20, 2026, 7:02 p.m. |
| PD | Predicate disambiguation | batch_69e57636b4808190bc2855af48a3ccdc |
completed | April 20, 2026, 12:41 a.m. |
| PDg | Predicate description generation | batch_69e58d7481508190a87c8b88f9df9879 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 16, 2026, 11:24 a.m.