Triple
T6719539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maryam |
E153359
|
entity |
| Predicate | motherOf |
P120
|
FINISHED |
| Object | Isa |
E84737
|
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: Isa | Statement: [Maryam, motherOf, Isa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Isa Context triple: [Maryam, motherOf, Isa]
-
A.
Isa
chosen
Isa is the Quranic name for Jesus, revered in Islam as a major prophet and messenger of God who performed miracles and will return before the Day of Judgment.
-
B.
Isinai
Isinai is an Austronesian language spoken by the Isinai people of Nueva Vizcaya in the northern Philippines.
-
C.
Issa
Issa is a masculine given name of Arabic origin commonly used in various Middle Eastern and Muslim-majority cultures.
-
D.
Ijesha
Ijesha are a subgroup of the Yoruba people known for their distinct dialect, cultural traditions, and historical presence in southwestern Nigeria.
-
E.
Awni
Awni is a masculine given name of Arabic origin, commonly used in the Middle East.
- 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_69c68809b4608190a2509ddb5ab87f05 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d137084881908e04ee6b2bd45585 |
completed | March 27, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7009f1e208190891c4542a6c613ac |
completed | March 27, 2026, 10:11 p.m. |
Created at: March 27, 2026, 2:07 p.m.