Triple
T14603359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jyotirindranath Tagore |
E342760
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Kanchanmala |
E342760
|
NE 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: Kanchanmala | Statement: [Jyotirindranath Tagore, notableWork, Kanchanmala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kanchanmala Context triple: [Jyotirindranath Tagore, notableWork, Kanchanmala]
-
A.
Kanchanmala
chosen
Kanchanmala is a notable literary work by Bengali writer and playwright Jyotirindranath Tagore.
-
B.
Kuhelika
Kuhelika is a Bengali novel by Kazi Nazrul Islam that explores themes of social injustice, revolution, and human relationships.
-
C.
Kanchan
Kanchan was a prominent chutney and chutney-soca singer known for popularizing the genre internationally, especially through her collaborations with Babla.
-
D.
Kanyakubja
Kanyakubja, also known as Kannauj, is an ancient and historically significant city in northern India that served as a major political and cultural center for several powerful dynasties.
-
E.
Kanchi
Kanchi is a historic temple city in the Indian state of Tamil Nadu, renowned as a major center of Hindu pilgrimage and classical learning.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb43a1bb48190bf520cb961f15b5e |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94ce6c208190a732f1a25700f07c |
completed | May 8, 2026, 7:46 a.m. |
Created at: April 10, 2026, 1:25 a.m.