Triple
T11684316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abu Amr ibn al-Ala |
E277699
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Zabban
Zabban is an alternate given name of Abu Amr ibn al-Ala, a prominent early Islamic scholar and one of the canonical readers of the Qur’an.
|
E940767
|
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: Zabban | Statement: [Abu Amr ibn al-Ala, givenName, Zabban]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zabban Context triple: [Abu Amr ibn al-Ala, givenName, Zabban]
-
A.
Zababa
Zababa is an ancient Mesopotamian war god particularly venerated in the city of Kish.
-
B.
Zabdas
Zabdas was a prominent 3rd-century Palmyrene general who led Queen Zenobia’s forces in major campaigns against the Roman Empire.
-
C.
Zaba
Zaba is the debut studio album by English indie rock band Glass Animals, noted for its lush, tropical soundscapes and atmospheric production.
-
D.
Zabdeno
Zabdeno is a viral vector vaccine that uses a human adenovirus serotype 26 platform to provide protection against Ebola virus disease.
-
E.
Banzebi
Banzebi are a subgroup of the Nzebi people, an ethnic community primarily found in Central Africa, especially in Gabon and surrounding regions.
- 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: Zabban Triple: [Abu Amr ibn al-Ala, givenName, Zabban]
Generated description
Zabban is an alternate given name of Abu Amr ibn al-Ala, a prominent early Islamic scholar and one of the canonical readers of the Qur’an.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zabban Target entity description: Zabban is an alternate given name of Abu Amr ibn al-Ala, a prominent early Islamic scholar and one of the canonical readers of the Qur’an.
-
A.
Zababa
Zababa is an ancient Mesopotamian war god particularly venerated in the city of Kish.
-
B.
Zabdas
Zabdas was a prominent 3rd-century Palmyrene general who led Queen Zenobia’s forces in major campaigns against the Roman Empire.
-
C.
Zaba
Zaba is the debut studio album by English indie rock band Glass Animals, noted for its lush, tropical soundscapes and atmospheric production.
-
D.
Zabdeno
Zabdeno is a viral vector vaccine that uses a human adenovirus serotype 26 platform to provide protection against Ebola virus disease.
-
E.
Banzebi
Banzebi are a subgroup of the Nzebi people, an ethnic community primarily found in Central Africa, especially in Gabon and surrounding regions.
- 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_69d6aafe02d881909900d54ad7d4af84 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a463f6448190a4c8e1651a2bd905 |
completed | April 10, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef142269d08190a9e5cf8d6268168b |
completed | April 27, 2026, 7:45 a.m. |
| NEDg | Description generation | batch_69ef35527f908190b681afdae3aec319 |
completed | April 27, 2026, 10:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ef51ec07ec8190b5cd97cf909388f0 |
completed | April 27, 2026, 12:09 p.m. |
Created at: April 8, 2026, 9:40 p.m.