Triple
T26239372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Hafey |
E656266
|
entity |
| Predicate | premiershipsCoached |
P7572
|
FINISHED |
| Object | 1967 VFL premiership with Richmond |
—
|
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: 1967 VFL premiership with Richmond | Statement: [Tom Hafey, premiershipsCoached, 1967 VFL premiership with Richmond]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: premiershipsCoached Context triple: [Tom Hafey, premiershipsCoached, 1967 VFL premiership with Richmond]
-
A.
AFLPremiershipsAsCoach
Indicates the number of AFL premiership titles an individual has won specifically in the role of coach.
-
B.
numberOfAFLChampionshipsWonAsHeadCoach
Indicates the total count of AFL championships that an individual has won while serving in the role of head coach.
-
C.
numberOfPremiershipsAsCaptain
Indicates the number of premiership titles an entity has won while serving in the role of captain.
-
D.
conferenceChampionshipsWonAsCoach
Indicates the number of conference championship titles an individual has won while serving in the role of coach.
-
E.
championshipWonAsCoach
chosen
Indicates that the subject, acting in the role of coach, has won a championship title with the associated team or organization.
- 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_69ee5b4c59a881909d9ee4fd013fffd5 |
completed | April 26, 2026, 6:37 p.m. |
| NER | Named-entity recognition | batch_69f650c70d7c819093d9a0f005f7c8d5 |
completed | May 2, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69f64cab1f648190a2a9460690d18a37 |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 26, 2026, 9:03 p.m.