Triple
T18644172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mata Amritanandamayi |
E455762
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Amma
Amma is a renowned Indian spiritual leader and humanitarian known worldwide as the “Hugging Saint” for her compassionate embrace and extensive charitable work.
|
E1335170
|
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: Amma | Statement: [Mata Amritanandamayi, alsoKnownAs, Amma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amma Context triple: [Mata Amritanandamayi, alsoKnownAs, Amma]
-
A.
Amma
Amma is a fictional female protagonist, likely a central figure in a narrative focused on a girl or woman’s experiences.
-
B.
Amma
Amma is the popular honorific nickname of J. Jayalalithaa, the influential Indian politician and long-serving Chief Minister of Tamil Nadu.
-
C.
Amma II
Amma II was a medieval monarch of the Eastern Chalukya dynasty who ruled parts of present-day Andhra Pradesh in southern India.
-
D.
Bhudevi
Bhudevi is the Hindu earth goddess and consort of Lord Vishnu, revered as the personification of the fertile, nurturing aspects of the Earth.
-
E.
Kanaka Durga
Kanaka Durga is a revered form of the Hindu goddess Durga, worshipped especially as the presiding deity of the famous hilltop temple in Vijayawada, Andhra Pradesh.
- 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: Amma Triple: [Mata Amritanandamayi, alsoKnownAs, Amma]
Generated description
Amma is a renowned Indian spiritual leader and humanitarian known worldwide as the “Hugging Saint” for her compassionate embrace and extensive charitable work.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Amma Target entity description: Amma is a renowned Indian spiritual leader and humanitarian known worldwide as the “Hugging Saint” for her compassionate embrace and extensive charitable work.
-
A.
Amma
Amma is a fictional female protagonist, likely a central figure in a narrative focused on a girl or woman’s experiences.
-
B.
Amma
Amma is the popular honorific nickname of J. Jayalalithaa, the influential Indian politician and long-serving Chief Minister of Tamil Nadu.
-
C.
Amma II
Amma II was a medieval monarch of the Eastern Chalukya dynasty who ruled parts of present-day Andhra Pradesh in southern India.
-
D.
Bhudevi
Bhudevi is the Hindu earth goddess and consort of Lord Vishnu, revered as the personification of the fertile, nurturing aspects of the Earth.
-
E.
Kanaka Durga
Kanaka Durga is a revered form of the Hindu goddess Durga, worshipped especially as the presiding deity of the famous hilltop temple in Vijayawada, Andhra Pradesh.
- 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_69d8d38ea1e88190997e9b231190ba6f |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5500c36188190bfdd7aca73f3c006 |
completed | April 19, 2026, 9:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a050d865fc48190a11ed96ebfdca50d |
completed | May 13, 2026, 11:47 p.m. |
| NEDg | Description generation | batch_6a051058f5788190b782a39feb7f6111 |
completed | May 13, 2026, 11:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0510fc0d1081908970c91357bb3444 |
completed | May 14, 2026, 12:02 a.m. |
Created at: April 10, 2026, 11:47 a.m.