Triple
T16974909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prakash Jha |
E411784
|
entity |
| Predicate | directed |
P7373
|
FINISHED |
| Object | Damul |
E1242716
|
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: Damul | Statement: [Prakash Jha, directed, Damul]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Damul Context triple: [Prakash Jha, directed, Damul]
-
A.
Damul
chosen
Damul is a critically acclaimed 1985 Indian Hindi-language political drama film directed by Prakash Jha that explores caste oppression and bonded labor in rural Bihar.
-
B.
Damau
Damau is a traditional percussion instrument used in the folk music and cultural practices of the Kumaoni people of Uttarakhand, India.
-
C.
Dumna
Dumna is a locality in India known for its proximity to Dumna Airport and its role as a regional transport and residential area.
-
D.
Ayu-Dag
Ayu-Dag is a prominent volcanic mountain and natural landmark on the southern coast of Crimea, known for its distinctive bear-like shape and scenic views over the Black Sea.
-
E.
Damak
Damak is a rapidly growing municipality in eastern Nepal known as a commercial and educational hub of Jhapa District.
- 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_69d886ca8f348190812768ea8d5055ce |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d18300c8819080c8bf19962754ba |
completed | April 18, 2026, 6:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc0b3d6c8190bc44afdd7a5a55f6 |
completed | May 10, 2026, 7:27 p.m. |
Created at: April 10, 2026, 5:31 a.m.