Triple
T21108744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Godan |
E520121
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Dhaniya
Dhaniya is a central peasant woman in Munshi Premchand’s Hindi novel "Godan," known for her resilience, moral strength, and role in depicting rural Indian life and social injustice.
|
E1466723
|
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: Dhaniya | Statement: [Godan, mainCharacter, Dhaniya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dhaniya Context triple: [Godan, mainCharacter, Dhaniya]
-
A.
Okhla
Okhla is a locality in South Delhi, India, known for its industrial areas, residential colonies, and proximity to the Yamuna River.
-
B.
Dhani
Dhani is the son of former Beatle George Harrison and an English musician and composer in his own right.
-
C.
Dhani
Dhani is a small village located within the scenic Neelum Valley region of Azad Kashmir, Pakistan.
-
D.
Matsyagandha
Matsyagandha is an epithet of Satyavati, the fisherwoman-turned-queen in the Indian epic Mahabharata, known as the mother of sage Vyasa and ancestress of the Kuru dynasty.
-
E.
Dharni
Dharni is a small town in the Amravati district of Maharashtra, India, known as a local administrative and market center for surrounding rural and tribal areas.
- 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: Dhaniya Triple: [Godan, mainCharacter, Dhaniya]
Generated description
Dhaniya is a central peasant woman in Munshi Premchand’s Hindi novel "Godan," known for her resilience, moral strength, and role in depicting rural Indian life and social injustice.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dhaniya Target entity description: Dhaniya is a central peasant woman in Munshi Premchand’s Hindi novel "Godan," known for her resilience, moral strength, and role in depicting rural Indian life and social injustice.
-
A.
Okhla
Okhla is a locality in South Delhi, India, known for its industrial areas, residential colonies, and proximity to the Yamuna River.
-
B.
Dhani
Dhani is the son of former Beatle George Harrison and an English musician and composer in his own right.
-
C.
Dhani
Dhani is a small village located within the scenic Neelum Valley region of Azad Kashmir, Pakistan.
-
D.
Matsyagandha
Matsyagandha is an epithet of Satyavati, the fisherwoman-turned-queen in the Indian epic Mahabharata, known as the mother of sage Vyasa and ancestress of the Kuru dynasty.
-
E.
Dharni
Dharni is a small town in the Amravati district of Maharashtra, India, known as a local administrative and market center for surrounding rural and tribal areas.
- 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_69e0b509a318819092fbbcb21d1fe603 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e720ffa998819082db225363ac3b23 |
completed | April 21, 2026, 7:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a095a69219c8190ab5b106aa1375c6a |
completed | May 17, 2026, 6:04 a.m. |
| NEDg | Description generation | batch_6a095b6d25f8819097334c13ef37003e |
completed | May 17, 2026, 6:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a095c7c8840819087c9860a75314b83 |
completed | May 17, 2026, 6:13 a.m. |
Created at: April 16, 2026, 2:54 p.m.