Triple
T26051441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tondaradippodi Alvar |
E647987
|
entity |
| Predicate | hasHagiographyIn |
P103598
|
FINISHED |
| Object | Guruparampara texts |
—
|
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: Guruparampara texts | Statement: [Tondaradippodi Alvar, hasHagiographyIn, Guruparampara texts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHagiographyIn Context triple: [Tondaradippodi Alvar, hasHagiographyIn, Guruparampara texts]
-
A.
hasBiographicalWork
chosen
Indicates that there exists a biographical work (such as a book, article, or film) whose subject is the given entity.
-
B.
hasPartInBiography
Indicates that a person or entity is featured or plays a role within someone’s biographical account.
-
C.
hasBiographicalStyle
Indicates that something is characterized by or presented in a biographical manner or style.
-
D.
hasBiographicalTheme
Indicates that something (such as a work, text, or content) centers on or significantly involves biographical subject matter, such as a person’s life, experiences, or personal history.
-
E.
hasWidelyDocumentedBiography
Indicates that extensive, reliable biographical information about the entity has been widely recorded and made publicly available.
- 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_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_69f602d07590819085ac34b189613104 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 22, 2026, 9:11 a.m.