Triple
T2405186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solange Knowles |
E50259
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object |
T.O.N.Y.
"T.O.N.Y." is a soulful R&B track by Solange Knowles that explores themes of fleeting romance and emotional vulnerability.
|
E264202
|
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: T.O.N.Y. | Statement: [Solange Knowles, notableSong, T.O.N.Y.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: T.O.N.Y. Context triple: [Solange Knowles, notableSong, T.O.N.Y.]
-
A.
Broadway Bill
Broadway Bill is a 1934 American comedy film, co-written by Robert Riskin and Frank Capra, about a businessman who risks everything to race his beloved horse.
-
B.
Broadway Joe
Broadway Joe is the flamboyant Hall of Fame NFL quarterback Joe Namath, famed for his bold Super Bowl III guarantee and larger-than-life New York celebrity persona.
-
C.
On Broadway
"On Broadway" is a jazz-infused cover of the classic song popularized by George Benson, known for its virtuosic guitar work and smooth vocal style.
-
D.
Tony
The Tony is a prestigious American theater award presented annually to recognize excellence in Broadway productions.
-
E.
Tony
Tony is the NATO reporting name for the Japanese World War II Kawasaki Ki-61 fighter aircraft.
- 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: T.O.N.Y. Triple: [Solange Knowles, notableSong, T.O.N.Y.]
Generated description
"T.O.N.Y." is a soulful R&B track by Solange Knowles that explores themes of fleeting romance and emotional vulnerability.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: T.O.N.Y. Target entity description: "T.O.N.Y." is a soulful R&B track by Solange Knowles that explores themes of fleeting romance and emotional vulnerability.
-
A.
Broadway Bill
Broadway Bill is a 1934 American comedy film, co-written by Robert Riskin and Frank Capra, about a businessman who risks everything to race his beloved horse.
-
B.
Broadway Joe
Broadway Joe is the flamboyant Hall of Fame NFL quarterback Joe Namath, famed for his bold Super Bowl III guarantee and larger-than-life New York celebrity persona.
-
C.
On Broadway
"On Broadway" is a jazz-infused cover of the classic song popularized by George Benson, known for its virtuosic guitar work and smooth vocal style.
-
D.
Tony
The Tony is a prestigious American theater award presented annually to recognize excellence in Broadway productions.
-
E.
Tony
Tony is the NATO reporting name for the Japanese World War II Kawasaki Ki-61 fighter aircraft.
- 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_69a88b0339a88190a1207333cd271cc9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc8fa151081909bc6be528b29b315 |
completed | March 7, 2026, 6:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aeb3e95334819093923b0c36b968f2 |
completed | March 9, 2026, 11:50 a.m. |
| NEDg | Description generation | batch_69aeb7b2d8f88190a12ce00000735fd6 |
completed | March 9, 2026, 12:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aeb827504c8190bd458e79193d51cc |
completed | March 9, 2026, 12:08 p.m. |
Created at: March 4, 2026, 7:58 p.m.