Triple
T18642722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fed |
E455728
|
entity |
| Predicate | bearerGrandSlamSinglesTitles |
P9284
|
FINISHED |
| Object | 20 |
—
|
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: 20 | Statement: [Fed, bearerGrandSlamSinglesTitles, 20]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bearerGrandSlamSinglesTitles Context triple: [Fed, bearerGrandSlamSinglesTitles, 20]
-
A.
grandSlamSinglesTitles
chosen
Indicates the number of Grand Slam singles tennis titles an entity has won.
-
B.
GrandSlamSinglesTitles
Indicates that an entity has won one or more Grand Slam singles tennis titles.
-
C.
grandSlamFinalistInSingles
Indicates that a person has reached the final round of a Grand Slam tennis tournament in singles competition.
-
D.
grandSlamSinglesFinalResult
Indicates the outcome of a Grand Slam tennis singles final match between competitors, typically specifying the winner, loser, and possibly the score.
-
E.
ATPsinglesTitles
Indicates the number of ATP-level singles titles a tennis player has won in professional tournaments.
- 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_69d8d38ea1e88190997e9b231190ba6f |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54fcd6da081908030b052727f2c2f |
completed | April 19, 2026, 9:57 p.m. |
| PD | Predicate disambiguation | batch_69e478d85864819093cbad5ed9b54878 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:47 a.m.