Triple

T35762446
Position Surface form Disambiguated ID Type / Status
Subject Al-Mansur Nasir al-Din Muhammad E1033912 entity
Predicate house P1505 FINISHED
Object Ayyubid house
The Ayyubid house was a medieval Sunni Muslim dynasty of Kurdish origin that ruled parts of the Middle East, including Egypt, Syria, and Yemen, founded by Saladin in the 12th century.
E2154623 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: Ayyubid house | Statement: [Al-Mansur Nasir al-Din Muhammad, house, Ayyubid house]
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: Ayyubid house
Triple: [Al-Mansur Nasir al-Din Muhammad, house, Ayyubid house]
Generated description
The Ayyubid house was a medieval Sunni Muslim dynasty of Kurdish origin that ruled parts of the Middle East, including Egypt, Syria, and Yemen, founded by Saladin in the 12th century.

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_69f76e13edd081909101629aa829c4ad completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a1c562848190ba1fe4f9cb7efa87 completed May 3, 2026, 7:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3885fc02cc8190abbc649706e5c4a4 completed June 22, 2026, 12:46 a.m.
NEDg Description generation batch_6a3887948e148190873b6efc5735127b completed June 22, 2026, 12:53 a.m.
NED2 Entity disambiguation (via description) batch_6a388849bf348190ba71468323566c56 completed June 22, 2026, 12:56 a.m.
Created at: May 3, 2026, 4:06 p.m.