Triple
T11022899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kamal Bose |
E260534
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Bemisal
Bemisal is a Hindi film for which acclaimed cinematographer Kamal Bose is particularly well known.
|
E900390
|
NE FINISHED |
How this triple was built (4 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: Bemisal | Statement: [Kamal Bose, notableWork, Bemisal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bemisal Context triple: [Kamal Bose, notableWork, Bemisal]
-
A.
Berkum
Berkum is a village and district within the municipality of Wachtberg in the German state of North Rhine-Westphalia.
-
B.
Embsen
Embsen is a locality that forms one of the subdivisions of the town of Achim in Lower Saxony, Germany.
-
C.
Bremblens
Bremblens is a small municipality in the canton of Vaud in western Switzerland.
-
D.
Berman
Berman is a surname of Ashkenazi Jewish origin borne by various notable individuals across fields such as art, politics, and academia.
-
E.
Bibemi
Bibemi is a town located in the North Region of Cameroon, known as a local administrative and trading center in the area.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bemisal Triple: [Kamal Bose, notableWork, Bemisal]
Generated description
Bemisal is a Hindi film for which acclaimed cinematographer Kamal Bose is particularly well known.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bemisal Target entity description: Bemisal is a Hindi film for which acclaimed cinematographer Kamal Bose is particularly well known.
-
A.
Berkum
Berkum is a village and district within the municipality of Wachtberg in the German state of North Rhine-Westphalia.
-
B.
Embsen
Embsen is a locality that forms one of the subdivisions of the town of Achim in Lower Saxony, Germany.
-
C.
Bremblens
Bremblens is a small municipality in the canton of Vaud in western Switzerland.
-
D.
Berman
Berman is a surname of Ashkenazi Jewish origin borne by various notable individuals across fields such as art, politics, and academia.
-
E.
Bibemi
Bibemi is a town located in the North Region of Cameroon, known as a local administrative and trading center in the area.
- F. None of above. chosen
Provenance (5 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797bd88188190a644adc9283cabb8 |
completed | April 9, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3750917d481909e73de0bfae27827 |
completed | April 18, 2026, 12:11 p.m. |
| NEDg | Description generation | batch_69e37ab860f48190808ba0076cfa9c98 |
completed | April 18, 2026, 12:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3864dd0d48190b3fd81381f5d7418 |
completed | April 18, 2026, 1:25 p.m. |
Created at: April 8, 2026, 9:25 p.m.