Triple
T20586957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Monkey Song |
E505812
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | I Wan’na Be Like You |
—
|
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: I Wan’na Be Like You | Statement: [The Monkey Song, title, I Wan’na Be Like You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Wan’na Be Like You Context triple: [The Monkey Song, title, I Wan’na Be Like You]
-
A.
I Wan'na Be Like You
chosen
"I Wan'na Be Like You" is a jazz-influenced song from Disney's 1967 animated film The Jungle Book, performed by King Louie and known for its lively scat singing and swing style.
-
B.
Be Like Me
"Be Like Me" is a 2019 hip-hop single by Lil Pump featuring Lil Wayne, known for its braggadocious lyrics and colorful, energetic style.
-
C.
Wouldn’t Want to Be Like You
"Wouldn’t Want to Be Like You" is a song featured on the soundtrack of the 1984 science fiction film "Threads."
-
D.
Be Like That
"Be Like That" is a rock ballad by American band 3 Doors Down, best known for its introspective lyrics about life choices and regret and for its popularity in the early 2000s.
-
E.
I’m Gonna Be
"I’m Gonna Be" is a song by Post Malone from his 2019 studio album "Hollywood’s Bleeding."
- 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_69e0b4b9669c8190b8e81fc72817d42c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a977fb18819085fee5cf5d45c1b0 |
completed | April 20, 2026, 10:32 p.m. |
Created at: April 16, 2026, 11:40 a.m.