Triple
T17951933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alvar movement |
E448850
|
entity |
| Predicate | includesSaint |
P1393
|
FINISHED |
| Object | Pey Alvar |
—
|
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: Pey Alvar | Statement: [Alvar movement, includesSaint, Pey Alvar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pey Alvar Context triple: [Alvar movement, includesSaint, Pey Alvar]
-
A.
Pey Alvar
chosen
Pey Alvar is one of the three principal early Tamil Vaishnavite poet-saints (Alvars), revered for his devotional hymns that form part of the Divya Prabandham.
-
B.
Roman Peña
Roman Peña is the son of American actor Michael Peña.
-
C.
Doneen Arquines
Doneen Arquines is a television producer best known for serving as an executive producer on the acclaimed culinary competition series "Top Chef."
-
D.
Jay Perez
Jay Perez is an American Tejano singer known for his smooth vocal style and successful solo career that helped modernize and popularize the genre.
-
E.
Brandon Perea
Brandon Perea is an American actor best known for his breakout role as tech-savvy salesman Angel Torres in Jordan Peele’s sci-fi horror film "Nope."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f8cca8819099836916c56b7c95 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4afad61f481908b34cd24de88983c |
completed | April 19, 2026, 10:34 a.m. |
Created at: April 10, 2026, 10:21 a.m.