Triple
T20140630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dog Days (2018 film) |
E491152
|
entity |
| Predicate | mainCastMember |
P5563
|
FINISHED |
| Object | Jon Bass |
—
|
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: Jon Bass | Statement: [Dog Days (2018 film), mainCastMember, Jon Bass]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jon Bass Context triple: [Dog Days (2018 film), mainCastMember, Jon Bass]
-
A.
Jon Bass
chosen
Jon Bass is an American actor and comedian known for his supporting roles in films and television, including the 2017 action-comedy adaptation of Baywatch.
-
B.
Jack Barron
Jack Barron is the hard-edged, media-savvy talk show host protagonist of Norman Spinrad’s science fiction novel "Bug Jack Barron."
-
C.
Michael Barratt
Michael Barratt is a Welsh rock and roll singer best known by his stage name Shakin' Stevens, who became one of the UK's most successful chart acts in the 1980s.
-
D.
Jon Moss
Jon Moss is an English drummer best known as a member of the pop band Culture Club alongside Boy George.
-
E.
Jim Grabb
Jim Grabb is a former American professional tennis player best known for reaching world No. 1 in doubles and winning multiple Grand Slam doubles titles.
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6679b179c8190a9511df8ed82098a |
completed | April 20, 2026, 5:51 p.m. |
Created at: April 11, 2026, 11:32 p.m.