Triple
T8549469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malaipadukadām |
E202408
|
entity |
| Predicate | thinai |
P83261
|
FINISHED |
| Object | kurinji thinai |
—
|
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: kurinji thinai | Statement: [Malaipadukadām, thinai, kurinji thinai]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thinai Context triple: [Malaipadukadām, thinai, kurinji thinai]
-
A.
inker
Indicates that one entity serves as the inker for another, typically applying ink to finalize or enhance an existing drawing or artwork.
-
B.
thickness
Indicates the measure of how deep or wide an object or layer is from one surface or side to its opposite.
-
C.
coPilotWith
Indicates that two entities jointly serve as pilots or share piloting responsibilities for the same vehicle or mission.
-
D.
Perlmutter
Indicates a relationship or action associated with the name "Perlmutter," such as authorship, attribution, or involvement, depending on the specific ontology or dataset in which it appears.
-
E.
Typer
Indicates that one entity serves as the type or classification for another entity.
- 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_69ca832610e08190b3b6c6cd2c250255 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe753d3608190b0573477182cf194 |
completed | March 31, 2026, 3:25 p.m. |
| PD | Predicate disambiguation | batch_69cbd113e05c81908f4f3fc1b5925164 |
completed | March 31, 2026, 1:50 p.m. |
| PDg | Predicate description generation | batch_69cbe30d453481908f897ed2b06e7534 |
completed | March 31, 2026, 3:06 p.m. |
Created at: March 30, 2026, 6:19 p.m.