Triple
T16464108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pam Shriver |
E399883
|
entity |
| Predicate | grandSlamTitlesMixedDoubles |
P9286
|
FINISHED |
| Object | 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: 1 | Statement: [Pam Shriver, grandSlamTitlesMixedDoubles, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grandSlamTitlesMixedDoubles Context triple: [Pam Shriver, grandSlamTitlesMixedDoubles, 1]
-
A.
grandSlamMixedDoublesTitles
chosen
Indicates the number of Grand Slam tennis titles an entity has won in mixed doubles events.
-
B.
grandSlamDoublesTitles
Indicates the number of Grand Slam tennis doubles titles an entity has won.
-
C.
grandSlamSinglesTitles
Indicates the number of Grand Slam singles tennis titles an entity has won.
-
D.
grandSlamTeam
Indicates that a team has achieved a grand slam, typically by winning all major qualifying titles or championships within a defined period or competition.
-
E.
grandSlamSinglesFinalResult
Indicates the outcome of a Grand Slam tennis singles final match between competitors, typically specifying the winner, loser, and possibly the score.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32d83687081908450657e1da6f6af |
completed | April 18, 2026, 7:06 a.m. |
| PD | Predicate disambiguation | batch_69e227048d608190a4205eae3117629a |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:10 a.m.