Triple

T29619899
Position Surface form Disambiguated ID Type / Status
Subject Al Qasimi E754965 entity
Predicate notableMember P10 FINISHED
Object Khalid bin Sultan Al Qasimi
Khalid bin Sultan Al Qasimi was an Emirati fashion designer and son of the ruler of Sharjah, known for founding the London-based menswear label Qasimi.
E1882407 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: Khalid bin Sultan Al Qasimi | Statement: [Al Qasimi, notableMember, Khalid bin Sultan Al Qasimi]
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: Khalid bin Sultan Al Qasimi
Triple: [Al Qasimi, notableMember, Khalid bin Sultan Al Qasimi]
Generated description
Khalid bin Sultan Al Qasimi was an Emirati fashion designer and son of the ruler of Sharjah, known for founding the London-based menswear label Qasimi.

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_69f0ef86b6ec8190a87fff07fd983b1e completed April 28, 2026, 5:33 p.m.
NER Named-entity recognition batch_69f66e24430081908f8731d6f52e0a2c completed May 2, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a26aa613a14819090501139c0c4054c completed June 8, 2026, 11:41 a.m.
NEDg Description generation batch_6a26b557450081909c03ff34c171a007 completed June 8, 2026, 12:28 p.m.
NED2 Entity disambiguation (via description) batch_6a26b934b00c819087c306fb9dbc427d completed June 8, 2026, 12:44 p.m.
Created at: April 28, 2026, 6:33 p.m.