Triple
T14603888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rudolf Friml |
E342775
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | High Jinks |
E342778
|
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: High Jinks | Statement: [Rudolf Friml, notableWork, High Jinks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: High Jinks Context triple: [Rudolf Friml, notableWork, High Jinks]
-
A.
High Jinks
chosen
High Jinks is a 1913 Broadway musical comedy, with music by Rudolf Friml, known for its lighthearted plot and early success in his theatrical career.
-
B.
High Jinx
"High Jinx" is a Cold War espionage novel by William F. Buckley Jr., featuring CIA agent Blackford Oakes in a high-stakes intelligence mission.
-
C.
Lojinx
Lojinx is an independent British record label known for releasing power pop, indie, and alternative rock music.
-
D.
Jolly Fellows
Jolly Fellows is a 1934 Soviet musical comedy film, widely regarded as one of the first major Soviet sound comedies and a breakthrough role for actress Lyubov Orlova.
-
E.
Shenanigans
Shenanigans is a 2002 compilation album by American punk rock band Green Day, featuring B-sides, rarities, and previously unreleased tracks.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb43a1bb48190bf520cb961f15b5e |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94ce6c208190a732f1a25700f07c |
completed | May 8, 2026, 7:46 a.m. |
Created at: April 10, 2026, 1:25 a.m.