Triple

T26228822
Position Surface form Disambiguated ID Type / Status
Subject Sultan bin Zayed Al Nahyan E655970 entity
Predicate sibling P363 FINISHED
Object Nahyan bin Zayed Al Nahyan
Nahyan bin Zayed Al Nahyan is a member of the Abu Dhabi ruling family who chairs the Emirates Red Crescent and is involved in various philanthropic and public service initiatives in the United Arab Emirates.
E1753012 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: Nahyan bin Zayed Al Nahyan | Statement: [Sultan bin Zayed Al Nahyan, sibling, Nahyan bin Zayed Al Nahyan]
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: Nahyan bin Zayed Al Nahyan
Triple: [Sultan bin Zayed Al Nahyan, sibling, Nahyan bin Zayed Al Nahyan]
Generated description
Nahyan bin Zayed Al Nahyan is a member of the Abu Dhabi ruling family who chairs the Emirates Red Crescent and is involved in various philanthropic and public service initiatives in the United Arab Emirates.

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_69ee5b4b8b408190993da38c0067cc8d completed April 26, 2026, 6:36 p.m.
NER Named-entity recognition batch_69f60d55f98c8190a3deafc435836a45 completed May 2, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a123a8cd9548190bc89d2db5f56cf8c completed May 23, 2026, 11:38 p.m.
NEDg Description generation batch_6a123b7235d081909cc231c0b1cc9b30 completed May 23, 2026, 11:42 p.m.
NED2 Entity disambiguation (via description) batch_6a123c1061ac8190b8becdcf391832f8 completed May 23, 2026, 11:45 p.m.
Created at: April 26, 2026, 8:59 p.m.