Triple
T28423798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kay McEnroe |
E720016
|
entity |
| Predicate | relativeInProfessionalTennis |
P201548
|
FINISHED |
| Object | John McEnroe |
—
|
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: John McEnroe | Statement: [Kay McEnroe, relativeInProfessionalTennis, John McEnroe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relativeInProfessionalTennis Context triple: [Kay McEnroe, relativeInProfessionalTennis, John McEnroe]
-
A.
relationToATPTour
Indicates a relationship specifying how an entity is connected or related to the ATP Tour, such as participation in, affiliation with, or relevance to that professional tennis circuit.
-
B.
positionInTennis
Indicates the specific role or court location a player occupies during a tennis match or point.
-
C.
roleInTennis
Indicates the specific function or position an entity holds within the context of tennis (e.g., player, coach, umpire).
-
D.
relationToGrandSlams
Indicates the relationship an entity has to Grand Slam tournaments, such as participation, performance, or achievement within them.
-
E.
statusRelativeToProfessionalLeagues
Indicates the relationship between an entity and professional sports leagues, specifying how that entity’s status compares to or is classified relative to those leagues.
- 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_69eff6f1c5088190bc24bfbf92f9c017 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_6a0004582bb08190b8d0b88251e8d333 |
completed | May 10, 2026, 4:06 a.m. |
| PD | Predicate disambiguation | batch_6a0003e3e5588190933beea5fb28f150 |
completed | May 10, 2026, 4:04 a.m. |
| PDg | Predicate description generation | batch_6a00045774ec81908ca607565b074f31 |
completed | May 10, 2026, 4:06 a.m. |
Created at: April 28, 2026, 1:35 a.m.