Triple
T29133132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Timothy Henman |
E738433
|
entity |
| Predicate | tennisStyle |
P3775
|
FINISHED |
| Object | serve-and-volley |
—
|
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: serve-and-volley | Statement: [Timothy Henman, tennisStyle, serve-and-volley]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tennisStyle Context triple: [Timothy Henman, tennisStyle, serve-and-volley]
-
A.
tennisStatus
Indicates the current state or condition of an entity in the context of tennis, such as whether they are playing, available, or in a particular match-related status.
-
B.
styleOfPlay
chosen
Indicates the characteristic manner or approach in which an entity performs or behaves, especially in a game, sport, or artistic context.
-
C.
styleOffCourt
Indicates a relationship where an entity’s fashion, behavior, or persona is characterized specifically outside the formal or professional setting associated with their main role (e.g., off the court, field, or stage).
-
D.
positionInTennis
Indicates the specific role or court location a player occupies during a tennis match or point.
-
E.
roleInTennis
Indicates the specific function or position an entity holds within the context of tennis (e.g., player, coach, umpire).
- 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_69f07cb3adb48190a9e0e169cd026634 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f6622f519881909a265ebf46433064 |
completed | May 2, 2026, 8:44 p.m. |
| PD | Predicate disambiguation | batch_69f65c2376a08190be5215171e908e69 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 11:33 a.m.