Triple
T12954829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kevin Huerter |
E309982
|
entity |
| Predicate | statCategoryStrength |
P107680
|
FINISHED |
| Object | three-point field goals |
—
|
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: three-point field goals | Statement: [Kevin Huerter, statCategoryStrength, three-point field goals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statCategoryStrength Context triple: [Kevin Huerter, statCategoryStrength, three-point field goals]
-
A.
strengthDescription
Indicates a description or characterization of the degree of strength associated with an entity or relationship.
-
B.
estimatedStrength
Indicates that a value represents an approximate or inferred level, magnitude, or intensity of something rather than a precisely measured strength.
-
C.
collectionStrength
Indicates the degree or intensity of association or cohesion among items within a collection.
-
D.
strengthType
Indicates the specific category or nature of strength associated with an entity or relationship (e.g., physical, structural, or conceptual strength).
-
E.
hasGenreStrength
Indicates that something possesses a particular intensity or degree of emphasis associated with a specific genre.
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e59a4c88190907d05b8d57dae89 |
completed | April 10, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69d97dba57988190b786ffed55687a72 |
completed | April 10, 2026, 10:46 p.m. |
| PDg | Predicate description generation | batch_69d97e5811f481908178fac6d2e0efcd |
completed | April 10, 2026, 10:48 p.m. |
Created at: April 9, 2026, 5:44 p.m.