Triple

T25410637
Position Surface form Disambiguated ID Type / Status
Subject Sadr al-Din al-Qunawi E636682 entity
Predicate student P7251 FINISHED
Object Sadr al-Din al-Qaysari
Sadr al-Din al-Qaysari was a prominent medieval Islamic philosopher and Sufi metaphysician known for systematizing and commenting on the school of Ibn Arabi.
 E1708868 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: Sadr al-Din al-Qaysari | Statement: [Sadr al-Din al-Qunawi, student, Sadr al-Din al-Qaysari]
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: Sadr al-Din al-Qaysari
Triple: [Sadr al-Din al-Qunawi, student, Sadr al-Din al-Qaysari]
Generated description
Sadr al-Din al-Qaysari was a prominent medieval Islamic philosopher and Sufi metaphysician known for systematizing and commenting on the school of Ibn Arabi.

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_69e75db361d881908d8701c856da6413 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5b00dfbf08190b20120c052126935 completed May 2, 2026, 8:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a111ae4476c8190a9cd99bf9db2352d completed May 23, 2026, 3:11 a.m.
NEDg Description generation batch_6a111c26bd588190bcb5b6acd9978f06 completed May 23, 2026, 3:16 a.m.
NED2 Entity disambiguation (via description) batch_6a111cfb960c8190ab95d50846acfb91 completed May 23, 2026, 3:20 a.m.
Created at: April 21, 2026, 1:53 p.m.