Triple
T30053508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ken Norton vs. George Foreman |
E763662
|
entity |
| Predicate | goesTheDistance |
P101798
|
FINISHED |
| Object | no |
—
|
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: no | Statement: [Ken Norton vs. George Foreman, goesTheDistance, no]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goesTheDistance Context triple: [Ken Norton vs. George Foreman, goesTheDistance, no]
-
A.
wentTheDistance
chosen
Indicates that an entity persisted through an entire challenge, task, or event without giving up or stopping early.
-
B.
raceDistanceType
Indicates the specific type or category of distance over which a race is conducted.
-
C.
raceDistanceApprox
Indicates that the distance of a race is approximately equal to a specified value, allowing for some margin of error rather than requiring an exact match.
-
D.
distanceTraveled
Indicates the total length of the path an entity has moved over a period of time or between two points.
-
E.
trailDistanceContext
Indicates the contextual distance or separation between entities along a trail, path, or route.
- 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_69f224716378819087a722e487832b70 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67a18676081908488b1e38d156284 |
completed | May 2, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69f673c664f08190b4d66cdc305e10db |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 29, 2026, 6:56 p.m.