Triple
T10690804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cecil Purdy |
E252002
|
entity |
| Predicate | worldChampionInDiscipline |
P21542
|
FINISHED |
| Object | correspondence chess |
—
|
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: correspondence chess | Statement: [Cecil Purdy, worldChampionInDiscipline, correspondence chess]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldChampionInDiscipline Context triple: [Cecil Purdy, worldChampionInDiscipline, correspondence chess]
-
A.
WorldChampionshipsDiscipline
Indicates the specific discipline or event category in which a world championship competition is held or a title is contested.
-
B.
worldChampionIn
chosen
Indicates that an entity holds or has held the title of world champion in a specified field, discipline, or competition.
-
C.
worldChampionshipsGoldMedal
Indicates that the subject has won a gold medal at a world championship competition.
-
D.
WorldCupDisciplineTitles
Indicates the number or types of discipline-specific titles an entity has won at the World Cup.
-
E.
worldChampionshipGoldMedals
Indicates the number of gold medals an entity has won at world championship competitions.
- 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd3705788190bcbdef93b4c5f574 |
completed | April 9, 2026, 1:13 a.m. |
| PD | Predicate disambiguation | batch_69d6dd8cc0788190b4c02a772e4b58b3 |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 9:11 p.m.