Triple
T19812112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kamadhenu |
E475971
|
entity |
| Predicate | parentOf |
P120
|
FINISHED |
| Object |
Nandini
Nandini is a divine cow in Hindu mythology, famed as a wish-fulfilling offspring of the celestial cow Kamadhenu.
|
E1396746
|
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: Nandini | Statement: [Kamadhenu, parentOf, Nandini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nandini Context triple: [Kamadhenu, parentOf, Nandini]
-
A.
Nandana
Nandana is a person known primarily as the sibling of Nanda, a figure mentioned in historical and/or cultural contexts.
-
B.
Damini
Damini is a critically acclaimed 1993 Indian Hindi-language courtroom drama film directed by Rajkumar Santoshi, known for its powerful portrayal of a woman's fight for justice.
-
C.
Shilpa
Shilpa is a pivotal transgender character in the Tamil film "Super Deluxe," known for her complex portrayal and emotional depth.
-
D.
Meenakshi
Meenakshi is a revered form of the Hindu goddess Parvati, worshipped especially in South India as the fish-eyed consort of Shiva and patron deity of Madurai.
-
E.
Sudha
Sudha is a central character in Jhumpa Lahiri’s short story collection "Unaccustomed Earth," representing the experiences and inner conflicts of the Indian diaspora.
- 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: Nandini Triple: [Kamadhenu, parentOf, Nandini]
Generated description
Nandini is a divine cow in Hindu mythology, famed as a wish-fulfilling offspring of the celestial cow Kamadhenu.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nandini Target entity description: Nandini is a divine cow in Hindu mythology, famed as a wish-fulfilling offspring of the celestial cow Kamadhenu.
-
A.
Nandana
Nandana is a person known primarily as the sibling of Nanda, a figure mentioned in historical and/or cultural contexts.
-
B.
Damini
Damini is a critically acclaimed 1993 Indian Hindi-language courtroom drama film directed by Rajkumar Santoshi, known for its powerful portrayal of a woman's fight for justice.
-
C.
Shilpa
Shilpa is a pivotal transgender character in the Tamil film "Super Deluxe," known for her complex portrayal and emotional depth.
-
D.
Meenakshi
Meenakshi is a revered form of the Hindu goddess Parvati, worshipped especially in South India as the fish-eyed consort of Shiva and patron deity of Madurai.
-
E.
Sudha
Sudha is a central character in Jhumpa Lahiri’s short story collection "Unaccustomed Earth," representing the experiences and inner conflicts of the Indian diaspora.
- 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6542c9c5c81908772e88caa067e63 |
completed | April 20, 2026, 4:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07ccc9f03c81908818f7d03483a650 |
completed | May 16, 2026, 1:47 a.m. |
| NEDg | Description generation | batch_6a07ce8ceadc8190a7e1f997d8d21bfd |
completed | May 16, 2026, 1:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07cf0327408190be73a41d2663836a |
completed | May 16, 2026, 1:57 a.m. |
Created at: April 10, 2026, 1:50 p.m.