Triple
T21698040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American League Gold Glove Award at shortstop |
E535576
|
entity |
| Predicate | isNonOffensiveAward |
P144952
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [American League Gold Glove Award at shortstop, isNonOffensiveAward, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNonOffensiveAward Context triple: [American League Gold Glove Award at shortstop, isNonOffensiveAward, yes]
-
A.
isOffensiveAward
Indicates that an award is considered offensive, inappropriate, or disrespectful in nature.
-
B.
isNonPlayingAward
Indicates that an award is given for contributions not involving active participation in the game or performance itself.
-
C.
isAward
Indicates that one entity functions as an award or prize that is given or conferred to another entity.
-
D.
isNonProfessionalAward
Indicates that an award is given in a non-professional context, typically recognizing amateur, volunteer, or informal achievements rather than professional accomplishments.
-
E.
isNonStatisticalAward
Indicates that an award is based on subjective or qualitative criteria rather than on statistical or numerical performance measures.
- 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_69e0c46a6ee481908836e1420fb78c9b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef9b7caca0819083d839b276ae015b |
completed | April 27, 2026, 5:23 p.m. |
| PD | Predicate disambiguation | batch_69e6969113cc8190ab69855ef5667e4b |
completed | April 20, 2026, 9:11 p.m. |
| PDg | Predicate description generation | batch_69e69b4aa2b48190830107391e81571a |
completed | April 20, 2026, 9:31 p.m. |
Created at: April 16, 2026, 6:45 p.m.