Triple
T11963877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Roos |
E284739
|
entity |
| Predicate | teamCoachedToPremiership |
P81445
|
FINISHED |
| Object | Sydney Swans 2005 |
—
|
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: Sydney Swans 2005 | Statement: [Paul Roos, teamCoachedToPremiership, Sydney Swans 2005]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamCoachedToPremiership Context triple: [Paul Roos, teamCoachedToPremiership, Sydney Swans 2005]
-
A.
premiershipCoachWith
chosen
Indicates a coaching relationship where a coach has led a team to a premiership (championship) title.
-
B.
premiershipCount
Indicates the number of premiership titles or championships an entity has won.
-
C.
captainedPremiershipYear
Indicates the year in which an entity served as captain of a team in a premiership (championship) competition.
-
D.
wonPremiershipIn
Indicates that an entity secured victory in a premiership competition in a specified year or season.
-
E.
AFLPremiershipsAsCoach
Indicates the number of AFL premiership titles an individual has won specifically in the role of coach.
- 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903799f948190a5dc4d3822f3ff27 |
completed | April 10, 2026, 2:04 p.m. |
| PD | Predicate disambiguation | batch_69d8bb40f30c8190a0e0719bd67542bf |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:45 p.m.