Triple
T26051445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tondaradippodi Alvar |
E647987
|
entity |
| Predicate | inDivyaPrabandhamSection |
P159899
|
FINISHED |
| Object | Mudhal Ayiram |
—
|
NE NERFINISHED |
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: Mudhal Ayiram | Statement: [Tondaradippodi Alvar, inDivyaPrabandhamSection, Mudhal Ayiram]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inDivyaPrabandhamSection Context triple: [Tondaradippodi Alvar, inDivyaPrabandhamSection, Mudhal Ayiram]
-
A.
isDivyaDesam
Indicates that a location is one of the 108 sacred Vishnu temples (Divya Desams) revered in the Tamil Vaishnavite tradition.
-
B.
dividesBhaktiInto
Indicates that one entity conceptually separates or categorizes the practice or concept of bhakti into distinct parts, types, or aspects.
-
C.
musicDirectorTitle
Indicates the formal title or designation held by a person in their role as a music director.
-
D.
devotionalPoets
Indicates a relationship in which poets are characterized by or associated with devotional (religious or spiritual) themes in their work.
-
E.
soundtrackLyricist
Indicates that a person is the lyricist who wrote the words for the soundtrack of a work (such as a film, show, or game).
- 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_69e77e8d419481908004e6318d28aaab |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6065ef22881908cecf6defe38519f |
completed | May 2, 2026, 2:12 p.m. |
| PD | Predicate disambiguation | batch_69f5aff889988190ad10bcf1a280f717 |
completed | May 2, 2026, 8:04 a.m. |
| PDg | Predicate description generation | batch_69f5f6b32a8881909baa0db57b80d56a |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 22, 2026, 9:11 a.m.