Triple
T34880458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dally Messenger |
E1005995
|
entity |
| Predicate | DallyMMedalAwardedFor |
P30971
|
FINISHED |
| Object | best and fairest player in the NRL regular season |
—
|
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: best and fairest player in the NRL regular season | Statement: [Dally Messenger, DallyMMedalAwardedFor, best and fairest player in the NRL regular season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: DallyMMedalAwardedFor Context triple: [Dally Messenger, DallyMMedalAwardedFor, best and fairest player in the NRL regular season]
-
A.
medalAwardedToWinner
Indicates that a medal is given to the entity that has won a competition or contest.
-
B.
beltAwardedBy
Indicates that a belt or rank is conferred upon someone by a specific person or organization.
-
C.
holderAwardedFor
Indicates that an award holder received the award specifically in recognition of, or as a result of, a particular work, achievement, or contribution.
-
D.
medalFor
chosen
Indicates that a medal is awarded to an entity in recognition of a specific achievement, action, or service.
-
E.
medalIn
Indicates that an entity has received a medal or award in a particular event, field, or competition.
- 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_69f76dbde1c08190a24e7f9beb564c8d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f782f4f10081908f97f6d0d2dbeec7 |
completed | May 3, 2026, 5:16 p.m. |
| PD | Predicate disambiguation | batch_69f780ff71cc8190a67e71076fbad81a |
completed | May 3, 2026, 5:08 p.m. |
Created at: May 3, 2026, 4 p.m.