Triple
T14490889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amba |
E359358
|
entity |
| Predicate | epithet |
P743
|
FINISHED |
| Object |
Ambe Maa
Ambe Maa is a revered Hindu goddess form of Amba, worshipped especially in western India as a powerful and protective mother deity.
|
E965768
|
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: Ambe Maa | Statement: [Amba, epithet, Ambe Maa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ambe Maa Context triple: [Amba, epithet, Ambe Maa]
-
A.
Kamakshi
Kamakshi is a revered form of the Hindu goddess Parvati, worshipped especially in Kanchipuram as a central deity of Shakta tradition.
-
B.
Jeen Mata
Jeen Mata is a Hindu goddess venerated primarily in Rajasthan, India, where she is revered as a powerful local deity and protector.
-
C.
Amma
Amma is the popular honorific nickname of J. Jayalalithaa, the influential Indian politician and long-serving Chief Minister of Tamil Nadu.
-
D.
Amma
Amma is a fictional female protagonist, likely a central figure in a narrative focused on a girl or woman’s experiences.
-
E.
Marudevi
Marudevi is revered in Jain tradition as the mother of the first Tirthankara, Rishabhanatha, and an important figure in early Jain spiritual narratives.
- 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: Ambe Maa Triple: [Amba, epithet, Ambe Maa]
Generated description
Ambe Maa is a revered Hindu goddess form of Amba, worshipped especially in western India as a powerful and protective mother deity.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ambe Maa Target entity description: Ambe Maa is a revered Hindu goddess form of Amba, worshipped especially in western India as a powerful and protective mother deity.
-
A.
Kamakshi
Kamakshi is a revered form of the Hindu goddess Parvati, worshipped especially in Kanchipuram as a central deity of Shakta tradition.
-
B.
Jeen Mata
chosen
Jeen Mata is a Hindu goddess venerated primarily in Rajasthan, India, where she is revered as a powerful local deity and protector.
-
C.
Amma
Amma is the popular honorific nickname of J. Jayalalithaa, the influential Indian politician and long-serving Chief Minister of Tamil Nadu.
-
D.
Amma
Amma is a fictional female protagonist, likely a central figure in a narrative focused on a girl or woman’s experiences.
-
E.
Marudevi
Marudevi is revered in Jain tradition as the mother of the first Tirthankara, Rishabhanatha, and an important figure in early Jain spiritual narratives.
- F. None of above.
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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de930d820481908b9813014dd02540 |
completed | April 14, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d9334708190baa2f8094df3c09e |
completed | May 8, 2026, 4:58 a.m. |
| NEDg | Description generation | batch_69fd6f80e3a081908c43915275898852 |
completed | May 8, 2026, 5:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd7016a3c48190a1ea2fefeea92c60 |
completed | May 8, 2026, 5:09 a.m. |
Created at: April 10, 2026, 1:20 a.m.