Triple
T35917204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M-Sport Ford World Rally Team |
E1038779
|
entity |
| Predicate | founderOfOperatingCompany |
P198951
|
FINISHED |
| Object | Malcolm Wilson |
—
|
NE NERFINISHED |
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: Malcolm Wilson | Statement: [M-Sport Ford World Rally Team, founderOfOperatingCompany, Malcolm Wilson]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: founderOfOperatingCompany Context triple: [M-Sport Ford World Rally Team, founderOfOperatingCompany, Malcolm Wilson]
-
A.
founderKnownFor
Indicates that a founder is particularly recognized or notable for a specific work, achievement, product, or contribution.
-
B.
founderAlsoKnownAs
Indicates that an individual who is a founder of something is also known by an alternative name or alias.
-
C.
wasFoundedBy
Indicates that an organization, institution, or entity came into existence through the initiating action or establishment by a specific founder or founding group.
-
D.
eponymousFounderOf
Indicates that a person is the namesake founder after whom an organization, place, or entity is named.
-
E.
currentFounder
Indicates that an entity is a present, active founder of another entity (such as an organization or company).
- F. None of above. chosen
Provenance (4 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_69f76e2320748190b7f5c4750d0cd0d3 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff16775a9881909d26dbc1f0ef3e1c |
completed | May 9, 2026, 11:11 a.m. |
| PD | Predicate disambiguation | batch_69ff158e61708190a1c581d0d306cfce |
completed | May 9, 2026, 11:07 a.m. |
| PDg | Predicate description generation | batch_69ff167608f08190b7cd2cf65ddecbf3 |
completed | May 9, 2026, 11:11 a.m. |
Created at: May 3, 2026, 4:07 p.m.