Triple
T20488775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank De Kova |
E502681
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | F Troop |
—
|
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: F Troop | Statement: [Frank De Kova, notableWork, F Troop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: F Troop Context triple: [Frank De Kova, notableWork, F Troop]
-
A.
F Troop
chosen
F Troop is a 1960s American television sitcom that parodies life at a misfit U.S. Army outpost in the Old West.
-
B.
MASH
MASH is a 1970 satirical black comedy war film directed by Robert Altman, renowned for its irreverent take on the Korean War and its influential role in the New Hollywood era.
-
C.
Hooch
Hooch is the slobbery but lovable Dogue de Bordeaux who partners with Tom Hanks’s character in the 1989 buddy-cop comedy film "Turner & Hooch."
-
D.
Hooch
Hooch is the Hogwarts flying instructor and Quidditch referee in the Harry Potter series.
-
E.
Von Ryan's Express
Von Ryan's Express is a 1965 World War II adventure film starring Frank Sinatra as an American POW leading a daring escape from a German prison camp by hijacking a train.
- 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_69e0b4b0373881909dd3e9387f82eab4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69b5c6f84819087d813be3542ed33 |
completed | April 20, 2026, 9:32 p.m. |
Created at: April 16, 2026, 11:34 a.m.