Triple
T20502402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akram Khan |
E503337
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Desh
Desh is a critically acclaimed solo dance-theatre work by British-Bangladeshi choreographer Akram Khan that explores identity, memory, and homeland.
|
E1434683
|
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: Desh | Statement: [Akram Khan, notableWork, Desh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Desh Context triple: [Akram Khan, notableWork, Desh]
-
A.
Desh
Desh is a historical region in western Maharashtra, India, known for its cultural significance and role in the Maratha heartland.
-
B.
Desiya
Desiya is a regional dialect spoken in parts of Odisha, India, influenced by Odia and neighboring tribal and Indo-Aryan languages.
-
C.
Negara
Negara is a town in western Bali, Indonesia, known as an administrative and commercial center in the Jembrana Regency.
-
D.
Deesa
Deesa is a town in the Banaskantha district of Gujarat, India, known historically as a former princely state and for its nearby military air base.
-
E.
Deshay
Deshay is a variant transliteration of the Indian surname "Desai," commonly associated with communities in western India.
- 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: Desh Triple: [Akram Khan, notableWork, Desh]
Generated description
Desh is a critically acclaimed solo dance-theatre work by British-Bangladeshi choreographer Akram Khan that explores identity, memory, and homeland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Desh Target entity description: Desh is a critically acclaimed solo dance-theatre work by British-Bangladeshi choreographer Akram Khan that explores identity, memory, and homeland.
-
A.
Desh
Desh is a historical region in western Maharashtra, India, known for its cultural significance and role in the Maratha heartland.
-
B.
Desiya
Desiya is a regional dialect spoken in parts of Odisha, India, influenced by Odia and neighboring tribal and Indo-Aryan languages.
-
C.
Negara
Negara is a town in western Bali, Indonesia, known as an administrative and commercial center in the Jembrana Regency.
-
D.
Deesa
Deesa is a town in the Banaskantha district of Gujarat, India, known historically as a former princely state and for its nearby military air base.
-
E.
Deshay
Deshay is a variant transliteration of the Indian surname "Desai," commonly associated with communities in western India.
- 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_69e0b4b1e52c8190894281cf7e3283ab |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69dc272a481909329ecd1560989ef |
completed | April 20, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0893c1a0648190846fc415e5469749 |
completed | May 16, 2026, 3:56 p.m. |
| NEDg | Description generation | batch_6a0894753bb08190a9c07a9264b2b292 |
completed | May 16, 2026, 3:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08952b742c8190b00f806ab772e46d |
completed | May 16, 2026, 4:02 p.m. |
Created at: April 16, 2026, 11:35 a.m.