Triple
T27530730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John McEnroe |
E694966
|
entity |
| Predicate | doublesRecord |
P162680
|
FINISHED |
| Object | ~530–103 |
—
|
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: ~530–103 | Statement: [John McEnroe, doublesRecord, ~530–103]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: doublesRecord Context triple: [John McEnroe, doublesRecord, ~530–103]
-
A.
dateOfCareerHighDoublesRanking
Indicates the specific date on which an entity achieved its highest-ever doubles ranking in its career.
-
B.
careerHighDoublesRanking
Indicates the highest doubles ranking a person has achieved in their professional career.
-
C.
hasDoublesPartner
Indicates that one entity serves as the doubles partner of another in a paired or team-based activity or sport.
-
D.
battedDoubles
Indicates that the subject hit a double in baseball, successfully reaching second base on a batted ball.
-
E.
mixedDoublesChampions
Indicates that the related entities together won a mixed doubles championship in a given event or competition.
- 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_69ef538608b081908b9f659bb09d5e0f |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f62f32f4c48190a1cf9004510caab3 |
completed | May 2, 2026, 5:06 p.m. |
| PD | Predicate disambiguation | batch_69f62c1762f881908c25e8f70ecd5041 |
completed | May 2, 2026, 4:53 p.m. |
| PDg | Predicate description generation | batch_69f62cd1912c8190ab3f3288442115a4 |
completed | May 2, 2026, 4:56 p.m. |
Created at: April 27, 2026, 1:26 p.m.