Triple
T8837549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ubaydullah ibn Jahsh |
E210303
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Ubaydullah
Ubaydullah is an Arabic male given name historically borne by several early Islamic figures.
|
E764990
|
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: Ubaydullah | Statement: [Ubaydullah ibn Jahsh, givenName, Ubaydullah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ubaydullah Context triple: [Ubaydullah ibn Jahsh, givenName, Ubaydullah]
-
A.
Ata-ullah
Ata-ullah was the architect responsible for designing the Mughal-era mausoleum Bibi Ka Maqbara in Aurangabad, India.
-
B.
Hibatullah
Hibatullah is the given name of Hibatullah Akhundzada, the reclusive supreme leader of the Taliban in Afghanistan.
-
C.
Muhammad Miranshah
Muhammad Miranshah was a Timurid prince and son of Abu Sa'id Mirza who played a role in the dynastic politics of Central Asia in the 15th century.
-
D.
Jalaluddin
Jalaluddin was an Afghan militant leader best known as the founder of the Haqqani network, a powerful insurgent group allied with the Taliban.
-
E.
Jamal Shah
Jamal Shah is a historical figure interred at the Makli Necropolis, one of the world’s largest and most significant funerary sites in Sindh, Pakistan.
- 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: Ubaydullah Triple: [Ubaydullah ibn Jahsh, givenName, Ubaydullah]
Generated description
Ubaydullah is an Arabic male given name historically borne by several early Islamic figures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ubaydullah Target entity description: Ubaydullah is an Arabic male given name historically borne by several early Islamic figures.
-
A.
Ata-ullah
Ata-ullah was the architect responsible for designing the Mughal-era mausoleum Bibi Ka Maqbara in Aurangabad, India.
-
B.
Hibatullah
Hibatullah is the given name of Hibatullah Akhundzada, the reclusive supreme leader of the Taliban in Afghanistan.
-
C.
Muhammad Miranshah
Muhammad Miranshah was a Timurid prince and son of Abu Sa'id Mirza who played a role in the dynastic politics of Central Asia in the 15th century.
-
D.
Jalaluddin
Jalaluddin was an Afghan militant leader best known as the founder of the Haqqani network, a powerful insurgent group allied with the Taliban.
-
E.
Jamal Shah
Jamal Shah is a historical figure interred at the Makli Necropolis, one of the world’s largest and most significant funerary sites in Sindh, Pakistan.
- 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_69ca8388549c819095fd94eadefbb007 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc606adde08190825dbdabd199c025 |
completed | April 1, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfab79954081908c727d0561208f9c |
completed | April 3, 2026, 11:58 a.m. |
| NEDg | Description generation | batch_69cfad8cb9cc81909d4df290c7411898 |
completed | April 3, 2026, 12:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfae0141b48190a443ae181a495bf6 |
completed | April 3, 2026, 12:09 p.m. |
Created at: March 30, 2026, 6:48 p.m.