Triple
T34124181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Gregan |
E875228
|
entity |
| Predicate | clubTeamYears |
P40869
|
FINISHED |
| Object | Brumbies 1996–2007 |
—
|
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: Brumbies 1996–2007 | Statement: [George Gregan, clubTeamYears, Brumbies 1996–2007]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clubTeamYears Context triple: [George Gregan, clubTeamYears, Brumbies 1996–2007]
-
A.
yearsWithTeam
chosen
Indicates the number of years an entity (typically a person) has been associated with or part of a particular team.
-
B.
teamStartYear
Indicates the year in which an entity (such as a person or organization) began its association with a particular team.
-
C.
memberTeamAtVariousTimes
Indicates that an entity has been a member of a particular team during one or more distinct time periods.
-
D.
nationalTeamYears
Indicates the span of years during which an entity was active as a member of a national team.
-
E.
coachOfYearTeam
Indicates that a person who received a coach of the year honor did so while coaching the specified team.
- 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_69f349aa33848190a2e6c5e4533c8444 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70fb4f18c819099ef6d9177b7d205 |
completed | May 3, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69f70f3a54d481909ba6bdda3647b761 |
completed | May 3, 2026, 9:02 a.m. |
Created at: May 1, 2026, 1:53 a.m.