Triple
T8427992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shakira |
E199049
|
entity |
| Predicate | paternalFamilyName |
P18
|
FINISHED |
| Object | Mebarak |
E199049
|
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: Mebarak | Statement: [Shakira, paternalFamilyName, Mebarak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mebarak Context triple: [Shakira, paternalFamilyName, Mebarak]
-
A.
Mebarak
chosen
Mebarak is the Lebanese-origin family name of international pop star Shakira and her paternal relatives.
-
B.
Lasalimu
Lasalimu is a coastal town and district in Southeast Sulawesi, Indonesia, known as a local administrative and transit area in the region.
-
C.
Omeed
Omeed is a transliterated given name of Persian origin, commonly associated with the name Omid, which means "hope."
-
D.
Baraka
Baraka is a lakeside city in the eastern Democratic Republic of the Congo, situated on the shores of Lake Tanganyika in the province of South Kivu.
-
E.
As-Salam
As-Salam is one of the names of God in Islam, signifying "The Source of Peace" and embodying divine safety, harmony, and well-being.
- 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_69ca8313c99081909a5c6d83b91de5b3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbd124378c819086ea2fa6ecbfffe1 |
completed | March 31, 2026, 1:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1d5a671c8190aebbe94e8838cddb |
completed | April 2, 2026, 7:40 a.m. |
Created at: March 30, 2026, 6:07 p.m.