Triple
T21600958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yashpal |
E533037
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Beesvi Sadi
Beesvi Sadi is a landmark Hindi novel by Yashpal that portrays the social and political upheavals of twentieth-century India.
|
E1493121
|
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: Beesvi Sadi | Statement: [Yashpal, notableWork, Beesvi Sadi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beesvi Sadi Context triple: [Yashpal, notableWork, Beesvi Sadi]
-
A.
Beeban
Beeban is a feminine given name most notably borne by British film director Beeban Kidron.
-
B.
Bhau Beej
Bhau Beej is a Hindu festival celebrating the bond between brothers and sisters, observed on the second day after Diwali with rituals for siblings’ well-being and prosperity.
-
C.
Beeby
Beeby is a surname most notably associated with American architect Thomas Beeby, a prominent figure in postmodern and classical revival design.
-
D.
Suleika
Suleika is a central poetic figure in Goethe’s "West–östlicher Divan," inspired by the persona of Marianne von Willemer and emblematic of the collection’s East–West lyrical dialogue on love and spirituality.
-
E.
Beesel
Beesel is a small municipality and village in the Dutch province of Limburg, known for its rural character and traditional cultural events.
- 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: Beesvi Sadi Triple: [Yashpal, notableWork, Beesvi Sadi]
Generated description
Beesvi Sadi is a landmark Hindi novel by Yashpal that portrays the social and political upheavals of twentieth-century India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beesvi Sadi Target entity description: Beesvi Sadi is a landmark Hindi novel by Yashpal that portrays the social and political upheavals of twentieth-century India.
-
A.
Beeban
Beeban is a feminine given name most notably borne by British film director Beeban Kidron.
-
B.
Bhau Beej
Bhau Beej is a Hindu festival celebrating the bond between brothers and sisters, observed on the second day after Diwali with rituals for siblings’ well-being and prosperity.
-
C.
Beeby
Beeby is a surname most notably associated with American architect Thomas Beeby, a prominent figure in postmodern and classical revival design.
-
D.
Suleika
Suleika is a central poetic figure in Goethe’s "West–östlicher Divan," inspired by the persona of Marianne von Willemer and emblematic of the collection’s East–West lyrical dialogue on love and spirituality.
-
E.
Beesel
Beesel is a small municipality and village in the Dutch province of Limburg, known for its rural character and traditional cultural events.
- 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_69e0c46364608190a337dc8720dc2a35 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef17e12fdc8190ab6125ea8d294717 |
completed | April 27, 2026, 8:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09fd3352d481908611875a91c66825 |
completed | May 17, 2026, 5:38 p.m. |
| NEDg | Description generation | batch_6a09fe7380c881909d17d5ba64f0b19f |
completed | May 17, 2026, 5:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09fef4abe48190b6eac6d14aadd110 |
completed | May 17, 2026, 5:46 p.m. |
Created at: April 16, 2026, 6:32 p.m.