Triple

T24248834
Position Surface form Disambiguated ID Type / Status
Subject Qalawunid family E603455 entity
Predicate hasMember P10 FINISHED
Object al-Salih Hajji
Al-Salih Hajji was a late 14th-century Mamluk sultan of Egypt and Syria from the Qalawunid dynasty, known for his brief and turbulent reigns during a period of political instability.
 E1656821 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: al-Salih Hajji | Statement: [Qalawunid family, hasMember, al-Salih Hajji]
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: al-Salih Hajji
Triple: [Qalawunid family, hasMember, al-Salih Hajji]
Generated description
Al-Salih Hajji was a late 14th-century Mamluk sultan of Egypt and Syria from the Qalawunid dynasty, known for his brief and turbulent reigns during a period of political instability.

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_69e29540da0481909a38bdae315b7a02 completed April 17, 2026, 8:17 p.m.
NER Named-entity recognition batch_69f28b87d03c8190a38ca0c0b65ce6fc completed April 29, 2026, 10:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1032da1ed48190b9c4fa303859b345 completed May 22, 2026, 10:41 a.m.
NEDg Description generation batch_6a1033ece8248190bc0ee7fa4976848d completed May 22, 2026, 10:46 a.m.
NED2 Entity disambiguation (via description) batch_6a103487a09c81908960296ff597228f completed May 22, 2026, 10:48 a.m.
Created at: April 18, 2026, 12:04 a.m.