Triple
T22905546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Legends Never Die |
E568433
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Up Up and Away |
—
|
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: Up Up and Away | Statement: [Legends Never Die, hasPart, Up Up and Away]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Up Up and Away Context triple: [Legends Never Die, hasPart, Up Up and Away]
-
A.
Up Up & Away
chosen
"Up Up & Away" is a song by Kid Cudi from his debut studio album "Man on the Moon: The End of Day," known for its introspective lyrics and atmospheric production.
-
B.
Up, Up and Away
"Up, Up and Away" is a 1967 pop song that became a major hit and signature tune for the vocal group The 5th Dimension.
-
C.
The Air Up There
The Air Up There is a 1994 sports comedy film in which a college basketball coach travels to Africa to recruit a talented local player, blending fish-out-of-water humor with cross-cultural themes.
-
D.
What Goes Up
"What Goes Up" is a science fiction short story by Arthur C. Clarke, included in his humorous bar-story collection *Tales from the White Hart*.
-
E.
What Goes Up
What Goes Up is a 2009 American comedy-drama film set in 1986 New Hampshire that follows a disillusioned journalist covering the Challenger launch while becoming entangled in the lives of troubled high school students.
- 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_69e2458cd9e48190943ad2e34485d939 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f180198fe88190b2f8c2a827d95fdc |
completed | April 29, 2026, 3:50 a.m. |
Created at: April 17, 2026, 3:41 p.m.