Triple
T13259644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Debby Ryan |
E315753
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Sing It!
Sing It! is a musical comedy web series starring Debby Ryan that parodies televised singing competitions.
|
E1030033
|
NE FINISHED |
How this triple was built (4 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 It! | Statement: [Debby Ryan, notableWork, Sing It!]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sing It! Context triple: [Debby Ryan, notableWork, Sing It!]
-
A.
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."
-
B.
Sing, Sing, Sing
"Sing, Sing, Sing" is a landmark big band jazz and swing composition, famously associated with Benny Goodman and celebrated for its driving rhythm and extended drum and clarinet solos.
-
C.
Singen
Singen is a town in southwestern Germany near the Swiss border, known for its industrial heritage and proximity to the Hohentwiel volcano and Lake Constance.
-
D.
Sing Sing
Sing Sing is a notorious maximum-security prison in Ossining, New York, long known for housing dangerous criminals and for its historical use of the electric chair.
-
E.
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.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sing It! Triple: [Debby Ryan, notableWork, Sing It!]
Generated description
Sing It! is a musical comedy web series starring Debby Ryan that parodies televised singing competitions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sing It! Target entity description: Sing It! is a musical comedy web series starring Debby Ryan that parodies televised singing competitions.
-
A.
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."
-
B.
Sing, Sing, Sing
"Sing, Sing, Sing" is a landmark big band jazz and swing composition, famously associated with Benny Goodman and celebrated for its driving rhythm and extended drum and clarinet solos.
-
C.
Singen
Singen is a town in southwestern Germany near the Swiss border, known for its industrial heritage and proximity to the Hohentwiel volcano and Lake Constance.
-
D.
Sing Sing
Sing Sing is a notorious maximum-security prison in Ossining, New York, long known for housing dangerous criminals and for its historical use of the electric chair.
-
E.
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.
- F. None of above. chosen
Provenance (5 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98f778088819082b8a596c04bfe02 |
completed | April 11, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a4612cc8190b45673a3994cee18 |
completed | May 3, 2026, 8:41 a.m. |
| NEDg | Description generation | batch_69f70c42d5008190bcd6275054637448 |
completed | May 3, 2026, 8:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f70ce60a7081908f9498fcfec98e90 |
completed | May 3, 2026, 8:52 a.m. |
Created at: April 9, 2026, 9:25 p.m.