Triple

T35330803
Position Surface form Disambiguated ID Type / Status
Subject Trackhouse Racing Team E1020310 entity
Predicate hasFormerDriver P77000 FINISHED
Object Shane van Gisbergen
Shane van Gisbergen is a New Zealand racing driver best known as a multiple Supercars champion and NASCAR race winner renowned for his versatility across different motorsport disciplines.
E2136037 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: Shane van Gisbergen | Statement: [Trackhouse Racing Team, hasFormerDriver, Shane van Gisbergen]
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: Shane van Gisbergen
Triple: [Trackhouse Racing Team, hasFormerDriver, Shane van Gisbergen]
Generated description
Shane van Gisbergen is a New Zealand racing driver best known as a multiple Supercars champion and NASCAR race winner renowned for his versatility across different motorsport disciplines.

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_69f76deacf4481908e7735a5a7715b0a completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f7910eefbc8190b5f392c37cb82d85 completed May 3, 2026, 6:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3823c69da48190add91e6ccd865022 completed June 21, 2026, 5:47 p.m.
NEDg Description generation batch_6a3824ae9a6c819092d832eff5eda1b1 completed June 21, 2026, 5:51 p.m.
NED2 Entity disambiguation (via description) batch_6a38259e02008190a092861c82d08363 completed June 21, 2026, 5:55 p.m.
Created at: May 3, 2026, 4:03 p.m.