Triple
T22802953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The World’s Greatest Athlete |
E564448
|
entity |
| Predicate | sportsDepicted |
P6214
|
FINISHED |
| Object | track and field |
—
|
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 and field | Statement: [The World’s Greatest Athlete, sportsDepicted, track and field]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sportsDepicted Context triple: [The World’s Greatest Athlete, sportsDepicted, track and field]
-
A.
sportEvent
Indicates a relationship where an entity is involved in, associated with, or characterizes a competitive or organized sporting event.
-
B.
sportCreated
Indicates that an entity is the originator or inventor of a particular sport.
-
C.
sportFocus
chosen
Indicates that one entity has a primary emphasis, specialization, or concentration on a particular sport represented by the other entity.
-
D.
sportsAttraction
Indicates a relationship where an entity serves as a venue, site, or draw specifically for sports-related activities or events.
-
E.
sportsCount
Indicates the number of sports associated with or involved in a given entity or context.
- 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_69e245823f4c8190ade442cdcc2c224a |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17cdf1e308190a05d0f61856be544 |
completed | April 29, 2026, 3:37 a.m. |
| PD | Predicate disambiguation | batch_69eed2cb30f481909566369f515f6eff |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:31 p.m.