Triple
T5360477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maria |
E103006
|
entity |
| Predicate | etymologicallyDerivedFrom |
P453
|
FINISHED |
| Object | Mariam |
E153359
|
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: Mariam | Statement: [Maria, etymologicallyDerivedFrom, Mariam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mariam Context triple: [Maria, etymologicallyDerivedFrom, Mariam]
-
A.
Mariam Bibi
Mariam Bibi is a prominent cultural figure from the Indian community in South Africa, recognized for her contributions to preserving and promoting Indian heritage in the country.
-
B.
Maryam
chosen
Maryam is a revered figure in Islam, honored in the Qur’an as the mother of Prophet Isa (Jesus) and a model of piety and devotion.
-
C.
Habiba
Habiba is a feminine given name commonly used in Arabic-speaking and Muslim-majority cultures, meaning "beloved" or "darling."
-
D.
Mariam Zamani Begum
Mariam Zamani Begum, also known as Mariam-uz-Zamani, was a prominent Mughal empress and chief consort of Emperor Akbar, renowned for her political influence and role in fostering Hindu-Muslim alliances.
-
E.
Hafsa
Hafsa is a feminine given name of Arabic origin, historically borne by notable Ottoman royal figures such as Ayşe Hafsa Sultan.
- 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_69bd43daa3e4819090b59d127db70e57 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd86588af081908c846fcde65724da |
completed | March 20, 2026, 5:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf291c89c8819084b9305c3bddc3c0 |
completed | March 21, 2026, 11:26 p.m. |
Created at: March 20, 2026, 2:02 p.m.