Triple
T9087991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ilana Kloss |
E217806
|
entity |
| Predicate | grandSlamTitlesDoubles |
P9285
|
FINISHED |
| Object | US Open women’s doubles champion 1976 |
—
|
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: US Open women’s doubles champion 1976 | Statement: [Ilana Kloss, grandSlamTitlesDoubles, US Open women’s doubles champion 1976]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grandSlamTitlesDoubles Context triple: [Ilana Kloss, grandSlamTitlesDoubles, US Open women’s doubles champion 1976]
-
A.
grandSlamDoublesTitles
chosen
Indicates the number of Grand Slam tennis doubles titles an entity has won.
-
B.
grandSlamMixedDoublesTitles
Indicates the number of Grand Slam tennis titles an entity has won in mixed doubles events.
-
C.
grandSlamSinglesTitles
Indicates the number of Grand Slam singles tennis titles an entity has won.
-
D.
tourDoublesTitles
Indicates the number of doubles titles a player has won on the professional tennis tour.
-
E.
otherGrandSlams
Indicates that an entity is associated with Grand Slam tournaments other than a primary or specifically referenced one.
- 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.