Triple
T22846339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rod Hill |
E566228
|
entity |
| Predicate | CFLAllStar |
P149939
|
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: [Rod Hill, CFLAllStar, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: CFLAllStar Context triple: [Rod Hill, CFLAllStar, yes]
-
A.
CFLAllStarSelections
Indicates the number of times an individual has been selected as a CFL (Canadian Football League) All-Star.
-
B.
CFLMostOutstandingPlayerAward
Indicates that an entity has received the Canadian Football League's Most Outstanding Player Award.
-
C.
CFLGreyCupChampionWith
Indicates that a CFL team won the Grey Cup championship in a specific year or context associated with another entity (such as a season, location, or opponent).
-
D.
CFLAllTimeTouchdowns
Indicates the total number of touchdowns a player has scored over their entire career in the Canadian Football League.
-
E.
CFLAllTimeTouchdownRecordHolder
Indicates that the subject holds the record for the most touchdowns scored in CFL history.
- 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_69e2458750b481908a8e4cf4609cc6cf |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e88fb408190a58c91486ea65169 |
completed | April 29, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69eed2d117088190acbfe130d84f8627 |
completed | April 27, 2026, 3:06 a.m. |
| PDg | Predicate description generation | batch_69eeeb577e2081909f4a4e9c296535c0 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:36 p.m.