Triple
T1531229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Art of Computer Programming |
E32446
|
entity |
| Predicate | hasExerciseRewardSystem |
P29896
|
FINISHED |
| Object | check for errors and solutions |
—
|
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: check for errors and solutions | Statement: [The Art of Computer Programming, hasExerciseRewardSystem, check for errors and solutions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExerciseRewardSystem Context triple: [The Art of Computer Programming, hasExerciseRewardSystem, check for errors and solutions]
-
A.
hasExtraordinaryExercise
Indicates that an entity engages in an unusually intense, prolonged, or otherwise exceptional level of physical exercise beyond typical norms.
-
B.
hasOrdinaryExercise
Indicates that an entity engages in or is associated with a regular, non-specialized form of physical exercise.
-
C.
usesCompetitionSystem
Indicates that an entity operates under or applies a particular competition system or format.
-
D.
canBeAwardedTo
Indicates that something is eligible to receive or be granted a particular award, honor, or recognition.
-
E.
hasTrophyForm
Indicates that one entity exists in, or is characterized by, a special trophy-like form or version of another entity.
- F. None of above. chosen
Provenance (4 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_69a885ea86308190998f6bc14bb91f8e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a933ddc5a881909cdf503f2bc29bd4 |
completed | March 5, 2026, 7:42 a.m. |
| PD | Predicate disambiguation | batch_69a907ae8f688190ad9000ea1e018585 |
completed | March 5, 2026, 4:33 a.m. |
| PDg | Predicate description generation | batch_69a933dce3488190b20f0e3d37d16371 |
completed | March 5, 2026, 7:42 a.m. |
Created at: March 4, 2026, 7:26 p.m.