Triple
T12967796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ed Vargo |
E321310
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ed Vargo |
E321310
|
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: Ed Vargo | Statement: [Ed Vargo, name, Ed Vargo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ed Vargo Context triple: [Ed Vargo, name, Ed Vargo]
-
A.
Ed Vargo
chosen
Ed Vargo was a prominent Major League Baseball umpire who worked in the National League for over two decades and officiated multiple World Series and All-Star Games.
-
B.
Jim Veltman
Jim Veltman is a former Canadian professional lacrosse player renowned as one of the greatest leaders and transition players in National Lacrosse League history, particularly with the Toronto Rock.
-
C.
Phil DeVoss
Phil DeVoss is a fictional character from the romantic comedy-drama film "Elizabethtown," which explores themes of family, failure, and self-discovery.
-
D.
Jim Vallely
Jim Vallely is an American television writer and producer best known for his work on acclaimed sitcoms such as "Arrested Development."
-
E.
Jeff Vintar
Jeff Vintar is an American screenwriter best known for his work on science fiction films, including co-writing the screenplay for the 2004 movie "I, Robot."
- 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e3f702481908f0f90f4f12d3f4d |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f0c11f88190b0f0fa1d0ec74a8d |
completed | May 3, 2026, 10:10 a.m. |
Created at: April 9, 2026, 8:31 p.m.