Triple
T9421046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malek |
E227149
|
entity |
| Predicate | hasAlternativeSpelling |
P457
|
FINISHED |
| Object | Malek |
E227149
|
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: Malek | Statement: [Malek, hasAlternativeSpelling, Malek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malek Context triple: [Malek, hasAlternativeSpelling, Malek]
-
A.
Malek
chosen
Malek is a given name and surname of Arabic origin commonly used across the Middle East and other Muslim-majority regions.
-
B.
Mirza
Mirza is a historical noble title of Persian and Central Asian origin, commonly borne by princes and high-ranking members of royal and aristocratic families.
-
C.
Mehdi
Mehdi is a common Persian male given name, often associated with Islamic and especially Shia traditions, meaning "the guided one."
-
D.
Majid
Majid is the central, hypocritical village mullah in Syed Waliullah’s Bengali novel *Lalsalu*, known for exploiting religion to control and deceive rural villagers.
-
E.
Cassim
Cassim is Ali Baba’s wealthy but greedy older brother in the classic Middle Eastern folk tale "Ali Baba and the Forty Thieves."
- 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_69ca84359e7c819091148ba4b670e436 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd6c2528c8819087b0a21e703254b7 |
completed | April 1, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1102cd82081909346e78bc05477b4 |
completed | April 4, 2026, 1:20 p.m. |
Created at: March 30, 2026, 7:48 p.m.