Triple
T10716367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Back to Basics Tour |
E252682
|
entity |
| Predicate | featuresSong |
P2152
|
FINISHED |
| Object |
The Right Man
"The Right Man" is a song by American singer Christina Aguilera, known as an emotional ballad reflecting on love and commitment.
|
E881196
|
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: The Right Man | Statement: [Back to Basics Tour, featuresSong, The Right Man]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Right Man Context triple: [Back to Basics Tour, featuresSong, The Right Man]
-
A.
The Best a Man Can Get
"The Best a Man Can Get" is a famous Gillette advertising slogan associated with its razor and men's grooming products campaigns worldwide.
-
B.
The Man That Got Away
"The Man That Got Away" is a torch song from the 1954 film *A Star Is Born*, widely regarded as one of Judy Garland’s most iconic and emotionally powerful performances.
-
C.
A Man and a Woman
"A Man and a Woman" is a romantic rock song by U2 from their 2004 album *How to Dismantle an Atomic Bomb*.
-
D.
Ladies’ Man
"Ladies’ Man" is a song by Canadian singer-songwriter Joni Mitchell from her 1982 album *Wild Things Run Fast*.
-
E.
Mr. Right
Mr. Right is a 2015 action-romantic comedy film in which Sam Rockwell plays a eccentric hitman who falls in love while being pursued by his former employers.
- 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: The Right Man Triple: [Back to Basics Tour, featuresSong, The Right Man]
Generated description
"The Right Man" is a song by American singer Christina Aguilera, known as an emotional ballad reflecting on love and commitment.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Right Man Target entity description: "The Right Man" is a song by American singer Christina Aguilera, known as an emotional ballad reflecting on love and commitment.
-
A.
The Best a Man Can Get
"The Best a Man Can Get" is a famous Gillette advertising slogan associated with its razor and men's grooming products campaigns worldwide.
-
B.
The Man That Got Away
"The Man That Got Away" is a torch song from the 1954 film *A Star Is Born*, widely regarded as one of Judy Garland’s most iconic and emotionally powerful performances.
-
C.
A Man and a Woman
"A Man and a Woman" is a romantic rock song by U2 from their 2004 album *How to Dismantle an Atomic Bomb*.
-
D.
Ladies’ Man
"Ladies’ Man" is a song by Canadian singer-songwriter Joni Mitchell from her 1982 album *Wild Things Run Fast*.
-
E.
Mr. Right
Mr. Right is a 2015 action-romantic comedy film in which Sam Rockwell plays a eccentric hitman who falls in love while being pursued by his former employers.
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6ff3320448190899c56b02a7f5ffa |
completed | April 9, 2026, 1:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d999278b8481909bc4e849b9580eb7 |
completed | April 11, 2026, 12:43 a.m. |
| NEDg | Description generation | batch_69d99e86e198819080f71400295a31e7 |
completed | April 11, 2026, 1:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69dadccd1d7081908ae53b97d2c2a6cb |
completed | April 11, 2026, 11:44 p.m. |
Created at: April 8, 2026, 9:13 p.m.