Triple
T19957327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Joseph Dunlop |
E479717
|
entity |
| Predicate | hasSignatureRaceNumber |
P59494
|
FINISHED |
| Object | 3 |
—
|
LITERAL 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: 3 | Statement: [William Joseph Dunlop, hasSignatureRaceNumber, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSignatureRaceNumber Context triple: [William Joseph Dunlop, hasSignatureRaceNumber, 3]
-
A.
hasRacingCode
Indicates that an entity is associated with a specific racing classification or identifier code.
-
B.
hasRoleInRace
Indicates that an entity participates in a race with a specific role or function.
-
C.
hasRaceFormat
Indicates that an entity is associated with, or characterized by, a particular race format or type of race structure.
-
D.
racingNumber
chosen
Indicates that an entity has been assigned a specific competition or race identification number used to distinguish it from other participants.
-
E.
hasSignaturePerformanceBy
Indicates that something features a standout or defining performance delivered by a particular performer.
- F. None of above.
Provenance (3 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65af1b32c81908ebe0e2570ec06a9 |
completed | April 20, 2026, 4:57 p.m. |
| PD | Predicate disambiguation | batch_69e537f7e4848190b431a69ec3f1b609 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:54 p.m.