Triple

T27640589
Position Surface form Disambiguated ID Type / Status
Subject Saudi Binladin Group E696577 entity
Predicate foundedBy P104 FINISHED
Object Mohammed bin Laden
Mohammed bin Laden was a prominent Saudi businessman and patriarch of the bin Laden family, best known for building a vast construction empire closely tied to the Saudi royal family.
E1787899 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: Mohammed bin Laden | Statement: [Saudi Binladin Group, foundedBy, Mohammed bin Laden]
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: Mohammed bin Laden
Triple: [Saudi Binladin Group, foundedBy, Mohammed bin Laden]
Generated description
Mohammed bin Laden was a prominent Saudi businessman and patriarch of the bin Laden family, best known for building a vast construction empire closely tied to the Saudi royal family.

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_69ef5909f3848190805f35b76833e722 completed April 27, 2026, 12:39 p.m.
NER Named-entity recognition batch_69f63190c17c8190a0ee11e09caefc2b completed May 2, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12ec9ae2e88190955d007606194e5e completed May 24, 2026, 12:18 p.m.
NEDg Description generation batch_6a12ed2afa9481909cc0ca56270ba2a0 completed May 24, 2026, 12:20 p.m.
NED2 Entity disambiguation (via description) batch_6a12edccfe54819094da363072bdf7a6 completed May 24, 2026, 12:23 p.m.
Created at: April 27, 2026, 2:26 p.m.