Triple
T24224148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | J. P. McManus |
E601544
|
entity |
| Predicate | sportInvolvedIn |
P17882
|
FINISHED |
| Object | horse racing |
—
|
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: horse racing | Statement: [J. P. McManus, sportInvolvedIn, horse racing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sportInvolvedIn Context triple: [J. P. McManus, sportInvolvedIn, horse racing]
-
A.
sportsInvolvement
chosen
Indicates the nature or extent of an entity’s participation in, association with, or role within a sport or sporting activity.
-
B.
sportCreated
Indicates that an entity is the originator or inventor of a particular sport.
-
C.
relatedSport
Indicates that there is an association or connection between an entity and a particular sport.
-
D.
performsAtSport
Indicates that an entity carries out or participates in an activity at a particular sport or sporting context.
-
E.
sportCategory
Indicates that one entity is classified as a type or category of sport to which the other entity (typically a specific sport or sporting event) belongs.
- 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_69e29537ca548190b94a37ebe1977caf |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f287ddfecc81909f5396857974bc8c |
completed | April 29, 2026, 10:36 p.m. |
| PD | Predicate disambiguation | batch_69f1c448abec8190b87cbf9ed419a309 |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, midnight