Triple
T11060734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amma Sarah |
E261499
|
entity |
| Predicate | honorificPrefix |
P536
|
FINISHED |
| Object | Amma |
E742956
|
NE FINISHED |
How this triple was built (2 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: [Amma Sarah, honorificPrefix, Amma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amma Context triple: [Amma Sarah, honorificPrefix, 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
chosen
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.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d798e991848190b07c2f48dae38681 |
completed | April 9, 2026, 12:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3c887d2148190b19c91b6eb548494 |
completed | April 18, 2026, 6:08 p.m. |
Created at: April 8, 2026, 9:26 p.m.