Triple
T9087998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ilana Kloss |
E217806
|
entity |
| Predicate | tourTitlesDoubles |
P50354
|
FINISHED |
| Object | multiple WTA doubles titles |
—
|
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: multiple WTA doubles titles | Statement: [Ilana Kloss, tourTitlesDoubles, multiple WTA doubles titles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tourTitlesDoubles Context triple: [Ilana Kloss, tourTitlesDoubles, multiple WTA doubles titles]
-
A.
tourDoublesTitles
chosen
Indicates the number of doubles titles a player has won on the professional tennis tour.
-
B.
grandSlamDoublesTitles
Indicates the number of Grand Slam tennis doubles titles an entity has won.
-
C.
GrandTourDoubles
Indicates a competitive doubles tennis event or match that is part of a Grand Slam (Grand Tour) tournament series.
-
D.
grandSlamMixedDoublesTitles
Indicates the number of Grand Slam tennis titles an entity has won in mixed doubles events.
-
E.
tourSinglesTitles
Indicates that an entity has won one or more singles titles on a professional tour.
- 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_69ca83d8ab5881909d8fddae363b32b1 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc965646408190b041ab0e2d5dbc94 |
completed | April 1, 2026, 3:51 a.m. |
| PD | Predicate disambiguation | batch_69cc65fc7f408190a5846e29ab3b97e5 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:13 p.m.