Triple
T11122410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marali Mannige |
E263047
|
entity |
| Predicate | writtenByJnanpithLaureate |
P97665
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Marali Mannige, writtenByJnanpithLaureate, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: writtenByJnanpithLaureate Context triple: [Marali Mannige, writtenByJnanpithLaureate, true]
-
A.
writtenByNobelLaureate
Indicates that the work or document was authored by a person who has received a Nobel Prize.
-
B.
literaryAuthor
Indicates that one entity is the author or writer of a literary work represented by the other entity.
-
C.
authorIsFirstNobelLaureateInLiterature
Indicates that the author is the very first person ever awarded the Nobel Prize in Literature.
-
D.
authorNobelLaureate
Indicates that the author is a recipient of a Nobel Prize.
-
E.
numberOfFilmfareAwardsForBestLyricist
Indicates the count of Filmfare Awards received by an entity specifically for the Best Lyricist category.
- 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79afa0ab88190ab6d61df8cf485ec |
completed | April 9, 2026, 12:26 p.m. |
| PD | Predicate disambiguation | batch_69d7441efe948190ae4ab020121e169d |
completed | April 9, 2026, 6:15 a.m. |
| PDg | Predicate description generation | batch_69d75112eb1c8190ba1dd51e42e8a7e8 |
completed | April 9, 2026, 7:11 a.m. |
Created at: April 8, 2026, 9:28 p.m.