Triple
T24897061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Moore |
E623173
|
entity |
| Predicate | numberOfBrownlowMedals |
P101457
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Peter Moore, numberOfBrownlowMedals, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfBrownlowMedals Context triple: [Peter Moore, numberOfBrownlowMedals, 2]
-
A.
BrownlowMedalWins
chosen
Indicates the number of times an entity has won the Brownlow Medal award.
-
B.
BrownlowMedalYear
Indicates the year in which a given Brownlow Medal was awarded.
-
C.
BrownlowVotesTotal
Indicates the total number of Brownlow Medal votes awarded to an entity (typically a player) over a specified period or competition.
-
D.
BrownlowMedal
Indicates that an entity has been awarded or is associated with the Brownlow Medal, typically recognizing the best and fairest player in an Australian Football League season.
-
E.
BrownlowMedalVotesLeaderForClub
Indicates that a player is the leading vote-getter in Brownlow Medal votes for their specific club in a given season or context.
- 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_69e2fac597708190a922bf39a49ec70a |
completed | April 18, 2026, 3:30 a.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 18, 2026, 5:26 a.m.