Triple
T11591930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris Sabo |
E274902
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Chris Sabo |
E274902
|
NE 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: Chris Sabo | Statement: [Chris Sabo, name, Chris Sabo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chris Sabo Context triple: [Chris Sabo, name, Chris Sabo]
-
A.
Chris Sabo
chosen
Chris Sabo is a former Major League Baseball third baseman best known for his years with the Cincinnati Reds, where he became a fan favorite for his gritty play and trademark goggles.
-
B.
Joe Suter
Joe Suter is an individual notable enough to be recognized as a bearer of the surname Suter, though specific widely known achievements or roles are not clearly documented.
-
C.
Brian Souter
Brian Souter is a Scottish businessman best known as the co-founder of the Stagecoach Group and a prominent figure in the UK transport industry.
-
D.
Andy Jurgensen
Andy Jurgensen is a film editor known for his work on acclaimed movies such as Licorice Pizza.
-
E.
Don Saleski
Don Saleski is a former NHL right winger best known for his gritty, physical play with the Philadelphia Flyers during their 1970s "Broad Street Bullies" era.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aae6b14c81908dc5a74bad7591f9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8946594348190935106132fd18028 |
completed | April 10, 2026, 6:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbaa8acc8190839b9a9f9f821168 |
completed | May 3, 2026, 4:14 a.m. |
Created at: April 8, 2026, 9:38 p.m.