Triple
T20777510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gujarat Pradesh Congress leaders |
E511390
|
entity |
| Predicate | notableMember |
P10
|
FINISHED |
| Object | Indulal Yagnik |
—
|
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: Indulal Yagnik | Statement: [Gujarat Pradesh Congress leaders, notableMember, Indulal Yagnik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Indulal Yagnik Context triple: [Gujarat Pradesh Congress leaders, notableMember, Indulal Yagnik]
-
A.
Indulal Yagnik
chosen
Indulal Yagnik was an Indian freedom fighter, socialist leader, and prominent figure in Gujarat’s nationalist and peasant movements during the struggle against British rule.
-
B.
Narhari Parikh
Narhari Parikh was an Indian freedom fighter, social worker, and close associate of Mahatma Gandhi who played a significant role in early Gandhian movements and rural reform.
-
C.
Sayaji Shinde
Sayaji Shinde is an Indian actor known for his versatile character roles in Marathi, Hindi, and other regional-language films.
-
D.
Ninad Kamat
Ninad Kamat is an Indian actor and voice artist known for his work in Hindi films, television, and dubbing for international movies.
-
E.
Shafi Inamdar
Shafi Inamdar was an Indian actor known for his work in Hindi films and television, particularly in popular series of the 1980s and 1990s.
- 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_69e0b4cac7a48190a715cb3d545df2b4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c26d34bc81908bb22087d434322d |
completed | April 21, 2026, 12:18 a.m. |
Created at: April 16, 2026, 12:37 p.m.