Triple
T22403691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nagraj Manjule |
E553825
|
entity |
| Predicate | directorOf |
P537
|
FINISHED |
| Object | Jhund |
—
|
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: Jhund | Statement: [Nagraj Manjule, directorOf, Jhund]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jhund Context triple: [Nagraj Manjule, directorOf, Jhund]
-
A.
Jhund
chosen
Jhund is a 2019 Indian sports drama film directed by Nagraj Manjule that tells the story of a football team formed from underprivileged slum children in Nagpur.
-
B.
Jhalmuri
Jhalmuri is a notable literary work by Bangladeshi poet Al Mahmud, recognized for its contribution to modern Bengali literature.
-
C.
Dhumakot
Dhumakot is a small town in the hilly region of Uttarakhand, India, known for its rural setting and scenic surroundings.
-
D.
Dhum Dhadaka
Dhum Dhadaka is a popular Marathi comedy film best known for its humorous storyline and memorable performance by Ashok Saraf.
-
E.
Taymuri
Taymuri are a sub-group of the Aimaq people, traditionally semi-nomadic pastoralists living mainly in western and central Afghanistan.
- 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_69e11e4da7048190b4387d422a9a0de5 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f158b6762c8190991fc14c5ca8e609 |
completed | April 29, 2026, 1:02 a.m. |
Created at: April 16, 2026, 8:46 p.m.