Triple
T25462685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French Championships 1962 |
E638091
|
entity |
| Predicate | menSinglesChampion |
P81987
|
FINISHED |
| Object | Rod Laver |
—
|
NE NERFINISHED |
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: Rod Laver | Statement: [French Championships 1962, menSinglesChampion, Rod Laver]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: menSinglesChampion Context triple: [French Championships 1962, menSinglesChampion, Rod Laver]
-
A.
men'sSinglesChampion
chosen
Indicates that the subject is the winner of the men's singles competition in a given event or tournament.
-
B.
firstMenSinglesAchiever
Indicates that the subject is the first male individual to achieve a particular singles title or milestone.
-
C.
menPastChampion
Indicates that the subject was a past champion in a men's competition or event.
-
D.
ATPsinglesTitles
Indicates the number of ATP-level singles titles a tennis player has won in professional tournaments.
-
E.
usOpenSinglesTitles
Indicates the number of US Open singles tennis titles 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_69e75db8bab08190baca80b4a8c315fd |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f72d0cc08190ba91a9dc39b1d848 |
completed | May 2, 2026, 1:07 p.m. |
| PD | Predicate disambiguation | batch_69f4a0f7c6008190ae8cee3e71e19b94 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 21, 2026, 2:12 p.m.