Triple

T29021794
Position Surface form Disambiguated ID Type / Status
Subject McLaren Group E737468 entity
Predicate foundedBy P104 FINISHED
Object Mansour Ojjeh
Mansour Ojjeh was a French-Saudi businessman and influential motorsport investor best known for his long-time ownership stake and leadership role in the McLaren Formula One team and its parent company.
E1932639 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: Mansour Ojjeh | Statement: [McLaren Group, foundedBy, Mansour Ojjeh]
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: Mansour Ojjeh
Triple: [McLaren Group, foundedBy, Mansour Ojjeh]
Generated description
Mansour Ojjeh was a French-Saudi businessman and influential motorsport investor best known for his long-time ownership stake and leadership role in the McLaren Formula One team and its parent company.

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_69f077ee19f881909af48f9cab00a2e5 completed April 28, 2026, 9:03 a.m.
NER Named-entity recognition batch_69f66005ea00819085501231fe82cc5e completed May 2, 2026, 8:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a28bbb59bb481908b035c7e803e0a02 completed June 10, 2026, 1:19 a.m.
NEDg Description generation batch_6a28bc2af92c8190a955710cdd763158 completed June 10, 2026, 1:21 a.m.
NED2 Entity disambiguation (via description) batch_6a28bcf1f5d081908823910cd023c991 completed June 10, 2026, 1:25 a.m.
Created at: April 28, 2026, 9:49 a.m.