Triple
T16183667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dangal |
E392744
|
entity |
| Predicate | hasCinematographyBy |
P1953
|
FINISHED |
| Object | Setu |
E1199425
|
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: Setu | Statement: [Dangal, hasCinematographyBy, Setu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Setu Context triple: [Dangal, hasCinematographyBy, Setu]
-
A.
Setu
chosen
Setu is an Indian cinematographer best known for his acclaimed visual work on the film *Taare Zameen Par* and other notable Hindi movies.
-
B.
Nivedita Setu
Nivedita Setu is a modern cable-stayed bridge in West Bengal, India, named after Sister Nivedita and serving as a key roadway link near Kolkata.
-
C.
Sudama Setu
Sudama Setu is a pedestrian suspension bridge in Dwarka, Gujarat, that connects the mainland near the Dwarkadhish Temple to the sacred Panchkui beach across the Gomti creek.
-
D.
Ghatere
Ghatere is a settlement located on the island of Kolombangara in the Solomon Islands.
-
E.
Gaighata
Gaighata is a town in the North 24 Parganas district of West Bengal, India, known for its semi-rural character and proximity to the India–Bangladesh border.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2205fc080819097858f36253fef7c |
completed | April 17, 2026, 11:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0007899b408190abcb7e72bdc81e9d |
completed | May 10, 2026, 4:20 a.m. |
Created at: April 10, 2026, 5:02 a.m.