Triple
T16055263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Courtney Walsh |
E389462
|
entity |
| Predicate | bowls |
P121443
|
FINISHED |
| Object | right-arm fast |
—
|
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: right-arm fast | Statement: [Courtney Walsh, bowls, right-arm fast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bowls Context triple: [Courtney Walsh, bowls, right-arm fast]
-
A.
bowlGame
Indicates that the relationship or event involves a postseason college football bowl game in which a team participates or that is associated with an entity.
-
B.
ProBowls
Indicates that a player has been selected to participate in one or more Pro Bowl all-star games.
-
C.
bowlSystem
Indicates a relationship where one entity functions as or belongs to a bowling-related system, setup, or arrangement involving bowls or bowling equipment.
-
D.
bowlRecord
Indicates a record or documentation of a bowling-related performance, event, or outcome associated with an entity.
-
E.
includesBowl
Indicates that something contains or has a bowl as one of its components or elements.
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1858a00888190b8505071575dc56f |
completed | April 17, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e18272f2288190a17d45fb01cc2b07 |
completed | April 17, 2026, 12:44 a.m. |
| PDg | Predicate description generation | batch_69e185879c10819080a18e24969b5a6d |
completed | April 17, 2026, 12:57 a.m. |
Created at: April 10, 2026, 4:56 a.m.