Triple
T12928334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Bubblegum |
E309303
|
entity |
| Predicate | appearsInEpisode |
P795
|
FINISHED |
| Object | Too Young |
E1010028
|
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: Too Young | Statement: [Princess Bubblegum, appearsInEpisode, Too Young]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Too Young Context triple: [Princess Bubblegum, appearsInEpisode, Too Young]
-
A.
Too Young
"Too Young" is a popular 1951 romantic ballad famously recorded by Nat King Cole that became one of his signature hits.
-
B.
You’re Never Too Young
"You’re Never Too Young" is a 1955 American comedy film starring the popular duo Dean Martin and Jerry Lewis, featuring a plot of mistaken identity and slapstick humor.
-
C.
So Young
"So Young" is a song by the Rolling Stones, known as a bluesy rock track that later appeared as a B-side and on reissue bonus material.
-
D.
"Too Young"
chosen
"Too Young" is an episode of the animated television series Adventure Time that focuses on Princess Bubblegum's temporary de-aging and her relationship with Finn in the Candy Kingdom.
-
E.
Too Old to Die Young
Too Old to Die Young is a neo-noir crime drama miniseries created by Nicolas Winding Refn that explores the criminal underworld of Los Angeles through a slow-burn, highly stylized narrative.
- 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971ec72a48190aceef10630603d2c |
completed | April 10, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af6655e88190ac33567870a947bb |
completed | May 3, 2026, 2:13 a.m. |
Created at: April 9, 2026, 5:42 p.m.