Triple
T20383487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Ross (baseball) |
E497897
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Tyson Ross |
—
|
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: Tyson Ross | Statement: [Joe Ross (baseball), relative, Tyson Ross]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tyson Ross Context triple: [Joe Ross (baseball), relative, Tyson Ross]
-
A.
Tyson Ross
chosen
Tyson Ross is an American former Major League Baseball pitcher known for his time with the San Diego Padres and his effective slider.
-
B.
Ryne Stanek
Ryne Stanek is an American professional baseball pitcher known for his high-velocity fastball and for serving as an opener and reliever in Major League Baseball.
-
C.
Austin Dempster
Austin Dempster is a cinematographer best known for his work on the fantasy-comedy film "Bedazzled."
-
D.
Marlon Ross
Marlon Ross is a distinguished American scholar and literary critic known for his work on race, gender, and sexuality in 19th- and 20th-century literature and culture.
-
E.
Yu Darvish
Yu Darvish is a Japanese professional baseball pitcher known for his dominant performances in both Nippon Professional Baseball and Major League Baseball, as well as his key role in international competitions.
- 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_69e0b4a5b7908190a972e4e7e698ae94 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678b2ceec819091ad5205ee9b2174 |
completed | April 20, 2026, 7:04 p.m. |
Created at: April 16, 2026, 11:27 a.m.