Triple
T33278761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whit Tucker |
E851978
|
entity |
| Predicate | teamDuringCareerPeak |
P5912
|
FINISHED |
| Object | Ottawa Rough Riders |
—
|
NE NERFINISHED |
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: Ottawa Rough Riders | Statement: [Whit Tucker, teamDuringCareerPeak, Ottawa Rough Riders]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamDuringCareerPeak Context triple: [Whit Tucker, teamDuringCareerPeak, Ottawa Rough Riders]
-
A.
teamStatusDuringCareer
Indicates the status or role of a team in relation to an entity over the course of that entity’s career.
-
B.
winnerCareerSpanTeam
Indicates the team for which a winner competed during the span of their professional career.
-
C.
hasRankAtPeakOfCareer
Indicates the specific rank or position an entity held at the highest point of its career.
-
D.
playedCareerStartYear
Indicates the calendar year in which an entity’s playing career (such as a professional or competitive role) began.
-
E.
teamMostAssociatedWith
chosen
Indicates the team with which an entity is most strongly or primarily associated, relative to other possible team affiliations.
- F. None of above.
Provenance (3 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_69f349653da08190819876015a298fdb |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6e02ba6b881908dfafc52d3b75f1c |
completed | May 3, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69f6de09c2f481909f8b2545d3208c9f |
completed | May 3, 2026, 5:32 a.m. |
Created at: May 1, 2026, 1:32 a.m.