Triple
T18324047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Tilden |
E438956
|
entity |
| Predicate | positionInTennis |
P131384
|
FINISHED |
| Object | world No. 1 |
—
|
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: world No. 1 | Statement: [Bill Tilden, positionInTennis, world No. 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInTennis Context triple: [Bill Tilden, positionInTennis, world No. 1]
-
A.
positionInCourt
Indicates the specific role or standing an entity holds within a court setting or judicial proceeding.
-
B.
primaryLocationOnCourt
Indicates the main area or position on the court where an entity is typically located or operates.
-
C.
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.
-
D.
roleInTennis
Indicates the specific function or position an entity holds within the context of tennis (e.g., player, coach, umpire).
-
E.
playingPosition
Indicates the specific role or position an individual occupies while participating in a game or sport.
- 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50aa93fb0819083293b80e8400c4e |
completed | April 19, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69e44fe4ee10819086b4142444fca1f5 |
completed | April 19, 2026, 3:45 a.m. |
| PDg | Predicate description generation | batch_69e451a0ba208190a5fe92832a8f7a49 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 10:36 a.m.