Triple

T27286949
Position Surface form Disambiguated ID Type / Status
Subject Sa'd ibn Mu'adh E688502 entity
Predicate conversionInfluencedBy P48719 FINISHED
Object Mus'ab ibn Umayr
Mus'ab ibn Umayr was an early and distinguished companion of the Prophet Muhammad, known as one of the first Muslim envoys who played a key role in spreading Islam in Medina.
 E1787741 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: Mus'ab ibn Umayr | Statement: [Sa'd ibn Mu'adh, conversionInfluencedBy, Mus'ab ibn Umayr]
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: Mus'ab ibn Umayr
Triple: [Sa'd ibn Mu'adh, conversionInfluencedBy, Mus'ab ibn Umayr]
Generated description
Mus'ab ibn Umayr was an early and distinguished companion of the Prophet Muhammad, known as one of the first Muslim envoys who played a key role in spreading Islam in Medina.

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_69ef355998e08190bdff849e8f33adce completed April 27, 2026, 10:07 a.m.
NER Named-entity recognition batch_69f627565c688190a8f4f9fd9ce84990 completed May 2, 2026, 4:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12ec8f9e24819091bdc4db4a4fd68d completed May 24, 2026, 12:18 p.m.
NEDg Description generation batch_6a12ed0fc060819085a0872a16a4badf completed May 24, 2026, 12:20 p.m.
NED2 Entity disambiguation (via description) batch_6a12ed9d47988190a62268071859ede2 completed May 24, 2026, 12:22 p.m.
Created at: April 27, 2026, 11:12 a.m.