Triple
T19803260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thane Baker |
E475739
|
entity |
| Predicate | typeOfAthleticsEvent |
P6316
|
FINISHED |
| Object | track events |
—
|
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: track events | Statement: [Thane Baker, typeOfAthleticsEvent, track events]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfAthleticsEvent Context triple: [Thane Baker, typeOfAthleticsEvent, track events]
-
A.
sportEventType
chosen
Indicates the specific kind or category of sport associated with a given sporting event.
-
B.
typeOfAthlete
Indicates that one entity is an athlete and the other specifies the kind or category of athlete they are.
-
C.
sportEventTypeOrganized
Indicates that an entity organizes or is responsible for arranging a specific type of sports event.
-
D.
typeOfSportOfficial
Indicates that one entity serves as the specific role or type of sports official (e.g., referee, umpire, judge) associated with another entity.
-
E.
typeOfRankingEvent
Indicates the specific kind or category of ranking-related event that is being referred to.
- 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e654266e18819085698aed8b0e2ba8 |
completed | April 20, 2026, 4:28 p.m. |
| PD | Predicate disambiguation | batch_69e5305858108190bbbfdb9ba3ab9f80 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:49 p.m.