Triple
T12779582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Umamah bint Abi al-As |
E305467
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object |
Umamah
Umamah is a female given name of Arabic origin, historically borne by a granddaughter of the Prophet Muhammad.
|
E1003390
|
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: Umamah | Statement: [Umamah bint Abi al-As, hasGivenName, Umamah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Umamah Context triple: [Umamah bint Abi al-As, hasGivenName, Umamah]
-
A.
Al-Umm
Al-Umm is the foundational legal compendium of Islamic jurisprudence authored by Imam al-Shafi'i, serving as a primary source for the Shafi'i school of thought.
-
B.
Amal
Amal is a feminine given name of Arabic origin meaning "hope" or "aspiration," used in various cultures around the world.
-
C.
Tareeno
Tareeno is an alternative name for Wanetsi, an Eastern Iranian language closely related to Pashto and spoken primarily in parts of Pakistan and Afghanistan.
-
D.
Omeed
Omeed is a transliterated given name of Persian origin, commonly associated with the name Omid, which means "hope."
-
E.
Mawlaik
Mawlaik is a town in northwestern Myanmar’s Sagaing Region, situated along the Chindwin River and serving as a local administrative and trading center.
- 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: Umamah Triple: [Umamah bint Abi al-As, hasGivenName, Umamah]
Generated description
Umamah is a female given name of Arabic origin, historically borne by a granddaughter of the Prophet Muhammad.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Umamah Target entity description: Umamah is a female given name of Arabic origin, historically borne by a granddaughter of the Prophet Muhammad.
-
A.
Al-Umm
Al-Umm is the foundational legal compendium of Islamic jurisprudence authored by Imam al-Shafi'i, serving as a primary source for the Shafi'i school of thought.
-
B.
Amal
Amal is a feminine given name of Arabic origin meaning "hope" or "aspiration," used in various cultures around the world.
-
C.
Tareeno
Tareeno is an alternative name for Wanetsi, an Eastern Iranian language closely related to Pashto and spoken primarily in parts of Pakistan and Afghanistan.
-
D.
Omeed
Omeed is a transliterated given name of Persian origin, commonly associated with the name Omid, which means "hope."
-
E.
Mawlaik
Mawlaik is a town in northwestern Myanmar’s Sagaing Region, situated along the Chindwin River and serving as a local administrative and trading center.
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e5a5680819095dcd491486d23e7 |
completed | April 10, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f685030cbc8190856bf5254e231d25 |
completed | May 2, 2026, 11:13 p.m. |
| NEDg | Description generation | batch_69f685dc63f48190bb68f9859e99e3b4 |
completed | May 2, 2026, 11:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f68a92226881909600555332c2c370 |
completed | May 2, 2026, 11:36 p.m. |
Created at: April 9, 2026, 5:29 p.m.