Triple

T27743943
Position Surface form Disambiguated ID Type / Status
Subject Yahya ibn Saʿid al-Ansari E701926 entity
Predicate teacher P335 FINISHED
Object Muhammad ibn Ibrahim al-Taymi
Muhammad ibn Ibrahim al-Taymi was an early Medinan hadith scholar and transmitter known for narrating key prophetic traditions that were later included in major Sunni collections.
 E1786122 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: Muhammad ibn Ibrahim al-Taymi | Statement: [Yahya ibn Saʿid al-Ansari, teacher, Muhammad ibn Ibrahim al-Taymi]
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: Muhammad ibn Ibrahim al-Taymi
Triple: [Yahya ibn Saʿid al-Ansari, teacher, Muhammad ibn Ibrahim al-Taymi]
Generated description
Muhammad ibn Ibrahim al-Taymi was an early Medinan hadith scholar and transmitter known for narrating key prophetic traditions that were later included in major Sunni collections.

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_69ef6a53c7388190899baa6daf42301c completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69f637189a3c8190865058cf6caaadc9 completed May 2, 2026, 5:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12e479c6ac81908c297820e0ab6af6 completed May 24, 2026, 11:43 a.m.
NEDg Description generation batch_6a12e51506ac8190bc8cac0bad87dad5 completed May 24, 2026, 11:46 a.m.
NED2 Entity disambiguation (via description) batch_6a12e5cfee048190a139532d8e125411 completed May 24, 2026, 11:49 a.m.
Created at: April 27, 2026, 4:14 p.m.