Triple
T20715047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kevin Sinfield |
E509146
|
entity |
| Predicate | genreOfCharityEvents |
P3801
|
FINISHED |
| Object | endurance running |
—
|
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: endurance running | Statement: [Kevin Sinfield, genreOfCharityEvents, endurance running]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreOfCharityEvents Context triple: [Kevin Sinfield, genreOfCharityEvents, endurance running]
-
A.
genreOfPhilanthropy
chosen
Indicates the specific type or category of philanthropic activity to which an act, initiative, or organization belongs.
-
B.
genreOfDescribedEvents
Indicates that one entity specifies the genre or type category of the events described by another entity.
-
C.
isCharityEvent
Indicates that an event is organized primarily for charitable purposes, such as raising funds or awareness for a cause.
-
D.
fieldOfPhilanthropy
Indicates that an entity is engaged in or associated with a particular area or domain of philanthropic activity.
-
E.
typeOfDonations
Indicates the kinds or categories of donations involved in a given context or transaction.
- 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_69e0b4c40ad88190b81f77695366d328 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1d12a9481909cce3711c1c2d9f8 |
completed | April 21, 2026, 12:16 a.m. |
| PD | Predicate disambiguation | batch_69e5c044d1108190b2b5d25de23f6401 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:15 p.m.