Triple
T20487733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Do I Love You? |
E502644
|
entity |
| Predicate | hasNotableRecordingBy |
P1152
|
FINISHED |
| Object |
Tony Desare
Tony DeSare is an American jazz and pop singer, pianist, and songwriter known for his stylish interpretations of standards and original compositions.
|
E1435115
|
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: Tony Desare | Statement: [Do I Love You?, hasNotableRecordingBy, Tony Desare]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tony Desare Context triple: [Do I Love You?, hasNotableRecordingBy, Tony Desare]
-
A.
Jon Caliri
Jon Caliri is an actor best known for playing the character Vinnie Pasetta.
-
B.
Matthew Shafer
Matthew Shafer is an American writer known for his work on the animated series "Cowboy Bebop" and related projects.
-
C.
Matthew Shafer
Matthew Shafer, better known by his stage name Uncle Kracker, is an American singer-songwriter and musician recognized for his blend of rock, country, and pop influences.
-
D.
Phil DeVoss
Phil DeVoss is a fictional character from the romantic comedy-drama film "Elizabethtown," which explores themes of family, failure, and self-discovery.
-
E.
Luke Del Tredici
Luke Del Tredici is a television writer and producer best known for his work on the comedy series "Brooklyn Nine-Nine."
- 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: Tony Desare Triple: [Do I Love You?, hasNotableRecordingBy, Tony Desare]
Generated description
Tony DeSare is an American jazz and pop singer, pianist, and songwriter known for his stylish interpretations of standards and original compositions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tony Desare Target entity description: Tony DeSare is an American jazz and pop singer, pianist, and songwriter known for his stylish interpretations of standards and original compositions.
-
A.
Jon Caliri
Jon Caliri is an actor best known for playing the character Vinnie Pasetta.
-
B.
Matthew Shafer
Matthew Shafer is an American writer known for his work on the animated series "Cowboy Bebop" and related projects.
-
C.
Matthew Shafer
Matthew Shafer, better known by his stage name Uncle Kracker, is an American singer-songwriter and musician recognized for his blend of rock, country, and pop influences.
-
D.
Phil DeVoss
Phil DeVoss is a fictional character from the romantic comedy-drama film "Elizabethtown," which explores themes of family, failure, and self-discovery.
-
E.
Luke Del Tredici
Luke Del Tredici is a television writer and producer best known for his work on the comedy series "Brooklyn Nine-Nine."
- 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_69e0b4b0373881909dd3e9387f82eab4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69b5c6f84819087d813be3542ed33 |
completed | April 20, 2026, 9:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a089d2ff2c081908f7ccc4ef2767d14 |
completed | May 16, 2026, 4:37 p.m. |
| NEDg | Description generation | batch_6a089dd1abd08190a662efd4a23eacba |
completed | May 16, 2026, 4:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a089e76035c8190b1b48d102f710fdd |
completed | May 16, 2026, 4:42 p.m. |
Created at: April 16, 2026, 11:34 a.m.