Triple
T13996555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Life in Cartoon Motion |
E336712
|
entity |
| Predicate | containsSingle |
P3282
|
FINISHED |
| Object | Lollipop |
E145143
|
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: Lollipop | Statement: [Life in Cartoon Motion, containsSingle, Lollipop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lollipop Context triple: [Life in Cartoon Motion, containsSingle, Lollipop]
-
A.
Lollipop
chosen
"Lollipop" is a 2008 hit hip-hop single by Lil Wayne that became one of his most commercially successful and culturally influential songs.
-
B.
Lolly
Lolly is a diminutive or affectionate nickname commonly used for the given name Laura.
-
C.
Cotton Candy
"Cotton Candy" is a popular jazz album and title track by trumpeter Al Hirt, showcasing his bright, melodic style in the early 1960s.
-
D.
Lolly Lolly
"Lolly Lolly" is a funk-infused pop song by the duo Wendy & Lisa, known for its catchy groove and late-1980s production style.
-
E.
Sweetums
Sweetums is a large, shaggy, ogre-like Muppet character known for his imposing appearance and surprisingly gentle, lovable personality.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2eb68ba88190bfaf10777d607bf3 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc32789e08190be0f1d1685dcc90e |
completed | May 6, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:19 p.m.