Triple
T15436405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir Donald Bradman |
E369773
|
entity |
| Predicate | firstClassMatchesPlayed |
P118776
|
FINISHED |
| Object | 234 |
—
|
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: 234 | Statement: [Sir Donald Bradman, firstClassMatchesPlayed, 234]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstClassMatchesPlayed Context triple: [Sir Donald Bradman, firstClassMatchesPlayed, 234]
-
A.
matchesPlayedIn
Indicates that a particular match was played in a specified location, event, or competition context.
-
B.
qualificationMatchesPlayed
Indicates that the number of qualification matches associated with an entity has been played or completed.
-
C.
leagueMatchesPlayed
Indicates the number of matches an entity has participated in within a specific league competition.
-
D.
odiMatchesPlayed
Indicates the number of One Day International (ODI) cricket matches that have been played by or between the referenced entities.
-
E.
clubAppearances
Indicates the number of official matches a player has played for a particular club.
- F. None of above. chosen
Provenance (4 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03edb3ec481908b26164d4470c9bc |
completed | April 16, 2026, 1:43 a.m. |
| PD | Predicate disambiguation | batch_69ded27f45548190a6d2b1b85cb47444 |
completed | April 14, 2026, 11:49 p.m. |
| PDg | Predicate description generation | batch_69ded57005608190886cd01f640dfedb |
completed | April 15, 2026, 12:01 a.m. |
Created at: April 10, 2026, 3:21 a.m.