Triple
T18599123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glenn McGrath |
E454571
|
entity |
| Predicate | ashesSeriesWins |
P120091
|
FINISHED |
| Object | multiple Ashes series wins with Australia |
—
|
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: multiple Ashes series wins with Australia | Statement: [Glenn McGrath, ashesSeriesWins, multiple Ashes series wins with Australia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ashesSeriesWins Context triple: [Glenn McGrath, ashesSeriesWins, multiple Ashes series wins with Australia]
-
A.
seriesWinningGame
Indicates that a particular game is the decisive or clinching game in which one side wins the overall series.
-
B.
winnerSeriesRecord
Indicates that one entity holds a winning record over another entity across a series of contests or events.
-
C.
hasWonSeries
chosen
Indicates that one entity has achieved overall victory in a multi-game or multi-event series against another entity.
-
D.
seasonWins
Indicates the number of games or competitions a team or individual has won during a specific season.
-
E.
totalNationalSeriesWins
Indicates the total number of national series competitions that an entity has won.
- 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5474f1d548190b74408eabd396344 |
completed | April 19, 2026, 9:21 p.m. |
| PD | Predicate disambiguation | batch_69e478cf5e888190a0b1074b0c6525df |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:45 a.m.