Triple
T22764233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meena |
E563077
|
entity |
| Predicate | appearsIn |
P795
|
FINISHED |
| Object | Sing 2 |
—
|
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: Sing 2 | Statement: [Meena, appearsIn, Sing 2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sing 2 Context triple: [Meena, appearsIn, Sing 2]
-
A.
Sing 2
chosen
Sing 2 is an animated musical comedy film and sequel to Sing, following a group of animal performers as they attempt to stage an ambitious new show in a glamorous entertainment capital.
-
B.
Sing (2016 film)
Sing (2016 film) is an animated musical comedy about a koala-run singing competition that features an ensemble cast of anthropomorphic animals pursuing their dreams.
-
C.
The Sing
"The Sing" is a track by American singer-songwriter Bill Callahan from his critically acclaimed 2013 album *Dream River*, noted for its meditative, narrative-rich style.
-
D.
Sing It!
Sing It! is a musical comedy web series starring Debby Ryan that parodies televised singing competitions.
-
E.
Sing It
"Sing It" is a 2012 pop single by American singer Rebecca Black that marked a more mature follow-up to her viral debut "Friday."
- 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_69e24552e11c81909c2d61578a558bd7 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17a7f56848190b5e90f9916a5b349 |
completed | April 29, 2026, 3:26 a.m. |
Created at: April 17, 2026, 3:26 p.m.