Triple
T16136104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cal McVey |
E391530
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Cal McVey |
E391530
|
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: Cal McVey | Statement: [Cal McVey, name, Cal McVey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cal McVey Context triple: [Cal McVey, name, Cal McVey]
-
A.
Cal McVey
chosen
Cal McVey was a 19th-century American baseball player and one of the sport’s earliest professional stars, known for his versatility in the infield and outfield.
-
B.
Randy Bricker
Randy Bricker is a film editor known for his work on horror and genre films, including Texas Chainsaw 3D.
-
C.
Don D. Scott
Don D. Scott is an American screenwriter best known for writing the hit comedy film "Barbershop" and its sequel.
-
D.
Jon A. McBride
Jon A. McBride is a former NASA astronaut and U.S. Navy captain who piloted the Space Shuttle Challenger on the STS-41-G mission.
-
E.
John McCallum
John McCallum was an Australian actor and producer known for his work in film, theatre, and television, as well as for his long creative partnership with his wife, actress Googie Withers.
- 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_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21a05148c8190bc2b98217fda23cc |
completed | April 17, 2026, 11:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0007813f14819093da66dd947b5378 |
completed | May 10, 2026, 4:20 a.m. |
Created at: April 10, 2026, 5:01 a.m.