Triple

T26402032
Position Surface form Disambiguated ID Type / Status
Subject Ibn Hajar al-Asqalani E663725 entity
Predicate studiedUnder P7251 FINISHED
Object Zayn al-Din al-'Iraqi
Zayn al-Din al-'Iraqi was a prominent 14th-century Muslim hadith scholar and jurist renowned for his critical works on hadith methodology and transmission.
 E1722260 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: Zayn al-Din al-'Iraqi | Statement: [Ibn Hajar al-Asqalani, studiedUnder, Zayn al-Din al-'Iraqi]
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: Zayn al-Din al-'Iraqi
Triple: [Ibn Hajar al-Asqalani, studiedUnder, Zayn al-Din al-'Iraqi]
Generated description
Zayn al-Din al-'Iraqi was a prominent 14th-century Muslim hadith scholar and jurist renowned for his critical works on hadith methodology and transmission.

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_69ee883931888190901be96d75ee23cc completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f610f493188190aea2bf6268995310 completed May 2, 2026, 2:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a119a8b5ea48190bf51203a1fe4f3f6 completed May 23, 2026, 12:16 p.m.
NEDg Description generation batch_6a119c7290c88190873129f6193a2121 completed May 23, 2026, 12:24 p.m.
NED2 Entity disambiguation (via description) batch_6a119cf886e88190aa83f0621903f248 completed May 23, 2026, 12:26 p.m.
Created at: April 26, 2026, 11:32 p.m.