Triple
T21180914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stefan Frei |
E521947
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Stefan Frei |
—
|
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: Stefan Frei | Statement: [Stefan Frei, fullName, Stefan Frei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stefan Frei Context triple: [Stefan Frei, fullName, Stefan Frei]
-
A.
Stefan Frei
chosen
Stefan Frei is a Swiss-American professional soccer goalkeeper best known for his standout performances with Seattle Sounders FC in Major League Soccer.
-
B.
Nick Rimando
Nick Rimando is an American former professional soccer goalkeeper best known for his long MLS career, particularly with Real Salt Lake, and for being one of the league’s all-time leaders in appearances and saves.
-
C.
Marcus Gerber
Marcus Gerber is a fictional character from the film "Burlesque."
-
D.
Sven Baertschi
Sven Baertschi is a Swiss former professional ice hockey winger who played in the NHL for teams including the Calgary Flames and Vancouver Canucks.
-
E.
Brad Guzan
Brad Guzan is an American professional soccer goalkeeper known for his long MLS career and for representing the United States national team, including at multiple major international tournaments.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b50ef1d48190b063aa342667df22 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7301da0ac8190a965fee7b6d845e7 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 3:01 p.m.