Triple
T1787388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shakira |
E39422
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Mebarak
Mebarak is the Lebanese-origin family name of international pop star Shakira and her paternal relatives.
|
E199049
|
NE FINISHED |
How this triple was built (4 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, familyName, Mebarak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mebarak Context triple: [Shakira, familyName, Mebarak]
-
A.
Bisher Bashi
Bisher Bashi is a renowned Bengali poetry collection by Kazi Nazrul Islam, noted for its intense emotional expression and revolutionary themes.
-
B.
Shobab
Shobab is a lesser-known son of King David of Israel and Bathsheba, mentioned briefly in the Hebrew Bible.
-
C.
Barkat
Barkat was one of the prominent martyrs of the Bengali Language Movement in East Bengal, remembered for sacrificing his life in the struggle to preserve the Bengali language and cultural identity.
-
D.
Naameh
Naameh is a central character in the 2014 biblical epic film "Noah," portrayed as Noah’s devoted wife and partner in facing the coming flood.
-
E.
As-Samad
As-Samad is one of the names of Allah in Islam, signifying the One who is absolutely self-sufficient, eternally depended upon by all creation, and free of all need.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mebarak Triple: [Shakira, familyName, Mebarak]
Generated description
Mebarak is the Lebanese-origin family name of international pop star Shakira and her paternal relatives.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mebarak Target entity description: Mebarak is the Lebanese-origin family name of international pop star Shakira and her paternal relatives.
-
A.
Bisher Bashi
Bisher Bashi is a renowned Bengali poetry collection by Kazi Nazrul Islam, noted for its intense emotional expression and revolutionary themes.
-
B.
Shobab
Shobab is a lesser-known son of King David of Israel and Bathsheba, mentioned briefly in the Hebrew Bible.
-
C.
Barkat
Barkat was one of the prominent martyrs of the Bengali Language Movement in East Bengal, remembered for sacrificing his life in the struggle to preserve the Bengali language and cultural identity.
-
D.
Naameh
Naameh is a central character in the 2014 biblical epic film "Noah," portrayed as Noah’s devoted wife and partner in facing the coming flood.
-
E.
As-Samad
As-Samad is one of the names of Allah in Islam, signifying the One who is absolutely self-sufficient, eternally depended upon by all creation, and free of all need.
- F. None of above. chosen
Provenance (5 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_69a88631854081909723959921e45c2b |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa650ea238819093a15df6f9d73e2d |
completed | March 6, 2026, 5:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada9a66da8819085867355c174adce |
completed | March 8, 2026, 4:53 p.m. |
| NEDg | Description generation | batch_69adaab488ec81909a340aab4916b90f |
completed | March 8, 2026, 4:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adaf3cd23081909dd27c5de8e3f6d2 |
completed | March 8, 2026, 5:17 p.m. |
Created at: March 4, 2026, 7:32 p.m.