Triple
T25557082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jennifer Brady |
E640600
|
entity |
| Predicate | reachedSemifinalOf |
P104526
|
FINISHED |
| Object | 2020 US Open – Women’s singles |
—
|
NE NERFINISHED |
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: 2020 US Open – Women’s singles | Statement: [Jennifer Brady, reachedSemifinalOf, 2020 US Open – Women’s singles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reachedSemifinalOf Context triple: [Jennifer Brady, reachedSemifinalOf, 2020 US Open – Women’s singles]
-
A.
reachedSemiFinalOf
chosen
Indicates that an entity progressed far enough in a competition or tournament to participate in its semi-final round.
-
B.
reachedGrandSlamQuarterfinal
Indicates that a player has advanced to the quarterfinal round of a Grand Slam tennis tournament.
-
C.
grandSlamSinglesSemifinal
Indicates that an entity reached or participated in the semifinal round of a Grand Slam tennis singles tournament.
-
D.
hasSemifinalGame
Indicates that an entity is associated with a specific game that takes place in the semifinal round of a competition or tournament.
-
E.
playedInFinals
Indicates that an entity participated as a competitor or player in the final round of a competition or tournament.
- 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_69e75dc101a881909fd33b02174e9768 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f8cb186c819099b247e4a8cbd367 |
completed | May 2, 2026, 1:14 p.m. |
| PD | Predicate disambiguation | batch_69f468421ba08190880eac99135e5970 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 3:40 p.m.