Triple
T4685295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hiranyakashipu |
E103906
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Kayadhu
Kayadhu is a figure in Hindu mythology known as the wife of the demon king Hiranyakashipu and the mother of the devotee Prahlada.
|
E461917
|
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: Kayadhu | Statement: [Hiranyakashipu, spouse, Kayadhu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kayadhu Context triple: [Hiranyakashipu, spouse, Kayadhu]
-
A.
Panambi
Panambi is a city in southern Brazil known for its strong German-Brazilian cultural heritage and traditions.
-
B.
Eravur
Eravur is a town in Sri Lanka’s Eastern Province, known for its coastal setting, diverse communities, and proximity to the regional hub of Batticaloa.
-
C.
Kodaikanal
Kodaikanal is a popular hill station in southern India known for its cool climate, scenic lakes, and lush, forested landscapes.
-
D.
Alappuzha
Alappuzha is a coastal city in the Indian state of Kerala, famed for its backwaters, houseboat cruises, and annual Nehru Trophy boat race.
-
E.
Ezhimala, Kerala
Ezhimala, Kerala is a coastal region in northern Kerala that hosts the Indian Naval Academy, one of the world’s largest naval training institutions.
- 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: Kayadhu Triple: [Hiranyakashipu, spouse, Kayadhu]
Generated description
Kayadhu is a figure in Hindu mythology known as the wife of the demon king Hiranyakashipu and the mother of the devotee Prahlada.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kayadhu Target entity description: Kayadhu is a figure in Hindu mythology known as the wife of the demon king Hiranyakashipu and the mother of the devotee Prahlada.
-
A.
Panambi
Panambi is a city in southern Brazil known for its strong German-Brazilian cultural heritage and traditions.
-
B.
Eravur
Eravur is a town in Sri Lanka’s Eastern Province, known for its coastal setting, diverse communities, and proximity to the regional hub of Batticaloa.
-
C.
Kodaikanal
Kodaikanal is a popular hill station in southern India known for its cool climate, scenic lakes, and lush, forested landscapes.
-
D.
Alappuzha
Alappuzha is a coastal city in the Indian state of Kerala, famed for its backwaters, houseboat cruises, and annual Nehru Trophy boat race.
-
E.
Ezhimala, Kerala
Ezhimala, Kerala is a coastal region in northern Kerala that hosts the Indian Naval Academy, one of the world’s largest naval training institutions.
- 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_69bd43debbf08190b4bc372e286ec234 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6383c83881908a978e471fe422a2 |
completed | March 20, 2026, 3:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be03b3b0208190bb307cdd53f44306 |
completed | March 21, 2026, 2:34 a.m. |
| NEDg | Description generation | batch_69be0440e7c881908743b7af9b2fa347 |
completed | March 21, 2026, 2:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be04e0f1b08190b3e617150e34648c |
completed | March 21, 2026, 2:39 a.m. |
Created at: March 20, 2026, 1:16 p.m.