Triple

T25565001
Position Surface form Disambiguated ID Type / Status
Subject Nigel Mansell E640810 entity
Predicate title P38 FINISHED
Object 1992 Formula One World Drivers' Champion
The 1992 Formula One World Drivers' Champion is the driver who secured the highest points total in the 1992 F1 season, winning the sport’s premier individual title for that year.
E1686661 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: 1992 Formula One World Drivers' Champion | Statement: [Nigel Mansell, title, 1992 Formula One World Drivers' Champion]
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: 1992 Formula One World Drivers' Champion
Triple: [Nigel Mansell, title, 1992 Formula One World Drivers' Champion]
Generated description
The 1992 Formula One World Drivers' Champion is the driver who secured the highest points total in the 1992 F1 season, winning the sport’s premier individual title for that year.

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_69e75dc1beb08190bac7d76b8d6e7bc4 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f8fb94b48190b135b603667279a7 completed May 2, 2026, 1:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10b7547c3c81908726d9e4ffce9d0b completed May 22, 2026, 8:06 p.m.
NEDg Description generation batch_6a10b7fa6d60819097ff930865af4032 completed May 22, 2026, 8:09 p.m.
NED2 Entity disambiguation (via description) batch_6a10b96903108190bd27481597bf46fa completed May 22, 2026, 8:15 p.m.
Created at: April 21, 2026, 3:48 p.m.