Triple
T20231568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boris Becker |
E495537
|
entity |
| Predicate | youngestWimbledonMensSinglesChampionAge |
P139329
|
FINISHED |
| Object | 17 |
—
|
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: 17 | Statement: [Boris Becker, youngestWimbledonMensSinglesChampionAge, 17]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: youngestWimbledonMensSinglesChampionAge Context triple: [Boris Becker, youngestWimbledonMensSinglesChampionAge, 17]
-
A.
lastWimbledonSinglesTitleYear
Indicates the calendar year in which an entity most recently won a Wimbledon singles title.
-
B.
typicalAgeOfWinner
Indicates the age that is most commonly observed for entities that win a particular competition, award, or event.
-
C.
wonWimbledonSingles
Indicates that an entity has won the Wimbledon tennis tournament in the singles category.
-
D.
firstMenSinglesAchiever
Indicates that the subject is the first male individual to achieve a particular singles title or milestone.
-
E.
yearOfGrandSlam
Indicates the specific year in which a particular Grand Slam event or achievement took place.
- 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66fddafac819089cef4158f5e0ab5 |
completed | April 20, 2026, 6:26 p.m. |
| PD | Predicate disambiguation | batch_69e55b18609481909ab28bc8750a642f |
completed | April 19, 2026, 10:45 p.m. |
| PDg | Predicate description generation | batch_69e56702ad04819099c1c08f28d16809 |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 11, 2026, 11:39 p.m.