Triple

T30773351
Position Surface form Disambiguated ID Type / Status
Subject Ibn al-Khatib al-Razi E783588 entity
Predicate alsoKnownAs P39 FINISHED
Object Abu Abdullah Muhammad ibn Umar ibn al-Husayn al-Taymi al-Bakri al-Tabaristani al-Razi
Abu Abdullah Muhammad ibn Umar ibn al-Husayn al-Taymi al-Bakri al-Tabaristani al-Razi, also known as Ibn al-Khatib al-Razi, was a medieval Islamic scholar from Rayy noted for his contributions to religious and intellectual life in the Islamic world.
E1930295 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: Abu Abdullah Muhammad ibn Umar ibn al-Husayn al-Taymi al-Bakri al-Tabaristani al-Razi | Statement: [Ibn al-Khatib al-Razi, alsoKnownAs, Abu Abdullah Muhammad ibn Umar ibn al-Husayn al-Taymi al-Bakri al-Tabaristani al-Razi]
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: Abu Abdullah Muhammad ibn Umar ibn al-Husayn al-Taymi al-Bakri al-Tabaristani al-Razi
Triple: [Ibn al-Khatib al-Razi, alsoKnownAs, Abu Abdullah Muhammad ibn Umar ibn al-Husayn al-Taymi al-Bakri al-Tabaristani al-Razi]
Generated description
Abu Abdullah Muhammad ibn Umar ibn al-Husayn al-Taymi al-Bakri al-Tabaristani al-Razi, also known as Ibn al-Khatib al-Razi, was a medieval Islamic scholar from Rayy noted for his contributions to religious and intellectual life in the Islamic world.

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_69f224b1519081908b9db003fd2073e0 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f68fc421dc8190862169489455a035 completed May 2, 2026, 11:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a28b09c62ec8190b608007907f79bc9 completed June 10, 2026, 12:32 a.m.
NEDg Description generation batch_6a28b1b3d41481908b42370b7ad16ba4 completed June 10, 2026, 12:37 a.m.
NED2 Entity disambiguation (via description) batch_6a28b2561d808190b5fbfc96e46634df completed June 10, 2026, 12:39 a.m.
Created at: April 29, 2026, 8:40 p.m.