Triple
T22764236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meena |
E563077
|
entity |
| Predicate | franchise |
P1500
|
FINISHED |
| Object | Sing film series |
—
|
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 film series | Statement: [Meena, franchise, Sing film series]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sing film series Context triple: [Meena, franchise, Sing film series]
-
A.
Sing film series
chosen
The Sing film series is an animated musical comedy franchise centered on a group of anthropomorphic animals pursuing their showbiz dreams through high-energy singing competitions and stage productions.
-
B.
Sing
"Sing" is an anthemic rock song by My Chemical Romance known for its uplifting message about using one’s voice to inspire change.
-
C.
Sing
"Sing" is a gentle, melodic pop song popularized by the soft rock duo The Carpenters in the 1970s.
-
D.
Sing
Sing is a 2016 animated musical comedy film featuring a group of anthropomorphic animals who enter a singing competition, produced by Illumination Entertainment.
-
E.
Sing
Sing is the grandmother of American country music singer and actress Reba McEntire.
- 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.