Triple
T7816031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rituparno Ghosh |
E181008
|
entity |
| Predicate | directed |
P7373
|
FINISHED |
| Object | Dahan |
E694833
|
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: Dahan | Statement: [Rituparno Ghosh, directed, Dahan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dahan Context triple: [Rituparno Ghosh, directed, Dahan]
-
A.
Dahan
chosen
Dahan is a critically acclaimed Bengali film directed by Rituparno Ghosh that explores themes of gender, social hypocrisy, and moral courage.
-
B.
Sadeh
Sadeh is an ancient Persian mid-winter fire festival that celebrates the triumph of light and warmth over darkness and cold.
-
C.
Tevot
Tevot is a large-scale orchestral work by contemporary British composer Thomas Adès, noted for its dense textures, complex rhythms, and cosmic, journey-like structure.
-
D.
Ain Draham
Ain Draham is a mountainous resort town in northwestern Tunisia known for its dense cork oak forests, cool climate, and popularity as an eco-tourism and hiking destination.
-
E.
Ashalim
Ashalim is a small community settlement in Israel’s Negev desert, known for its nearby large-scale solar power plants and desert research and tourism activities.
- 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_69ca828153f48190bdb27ac46f8e0745 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf96d1f088190a1d005ffb019afe9 |
completed | March 30, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5a5c24908190847b612a56a1abf5 |
completed | March 31, 2026, 5:23 a.m. |
Created at: March 30, 2026, 4:39 p.m.