Triple
T4874988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malikah Shabazz |
E109178
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Malikah |
E227152
|
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: Malikah | Statement: [Malikah Shabazz, givenName, Malikah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malikah Context triple: [Malikah Shabazz, givenName, Malikah]
-
A.
Malika
chosen
Malika is a feminine given name of Arabic origin commonly used in various Muslim-majority and North African cultures.
-
B.
Malek
Malek is a given name and surname of Arabic origin commonly used across the Middle East and other Muslim-majority regions.
-
C.
Malik
Malik is a common Arabic surname and given name used across various cultures, often meaning "king" or "owner."
-
D.
Rawdah
Rawdah is the revered area between the Prophet Muhammad’s tomb and his pulpit in Al-Masjid an-Nabawi in Medina, considered one of the holiest sites in Islam.
-
E.
Malik Talao
Malik Talao is a scenic lake within Ranthambore National Park in Rajasthan, India, known for attracting diverse wildlife and enhancing the park’s natural beauty.
- 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_69bd440d96a48190b0c87069adef2af1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6da1b45881909d45cb1214f5bdde |
completed | March 20, 2026, 3:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be67f90e848190a36eee1e670657e4 |
completed | March 21, 2026, 9:42 a.m. |
Created at: March 20, 2026, 1:27 p.m.