Triple
T3677056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | There Goes My Baby |
E78017
|
entity |
| Predicate | songwriter |
P1141
|
FINISHED |
| Object |
Lover Patterson
Lover Patterson was a songwriter best known for his work on the R&B hit "There Goes My Baby."
|
E378358
|
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: Lover Patterson | Statement: [There Goes My Baby, songwriter, Lover Patterson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lover Patterson Context triple: [There Goes My Baby, songwriter, Lover Patterson]
-
A.
Elvis Patterson
Elvis Patterson is a former American football cornerback best known for his NFL career with teams including the New York Giants and Kansas City Chiefs.
-
B.
C. Shannon Mallory
C. Shannon Mallory was an Episcopal bishop best known for serving as the inaugural leader of the Diocese of El Camino Real in California.
-
C.
Lavon Hayes
Lavon Hayes is a charismatic former NFL star and the beloved mayor of Bluebell, Alabama, on the TV series "Hart of Dixie."
-
D.
Brig Owens
Brig Owens was an American professional football safety best known for his standout career with the Washington Redskins in the 1960s and 1970s.
-
E.
Marty Byrde
Marty Byrde is the financially savvy but morally conflicted Chicago accountant-turned-money launderer at the center of the crime drama series "Ozark."
- 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: Lover Patterson Triple: [There Goes My Baby, songwriter, Lover Patterson]
Generated description
Lover Patterson was a songwriter best known for his work on the R&B hit "There Goes My Baby."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lover Patterson Target entity description: Lover Patterson was a songwriter best known for his work on the R&B hit "There Goes My Baby."
-
A.
Elvis Patterson
Elvis Patterson is a former American football cornerback best known for his NFL career with teams including the New York Giants and Kansas City Chiefs.
-
B.
C. Shannon Mallory
C. Shannon Mallory was an Episcopal bishop best known for serving as the inaugural leader of the Diocese of El Camino Real in California.
-
C.
Lavon Hayes
Lavon Hayes is a charismatic former NFL star and the beloved mayor of Bluebell, Alabama, on the TV series "Hart of Dixie."
-
D.
Brig Owens
Brig Owens was an American professional football safety best known for his standout career with the Washington Redskins in the 1960s and 1970s.
-
E.
Marty Byrde
Marty Byrde is the financially savvy but morally conflicted Chicago accountant-turned-money launderer at the center of the crime drama series "Ozark."
- 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_69ad85e18c1c8190be8aafb227f39f48 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc4643cf08190b2d10ddf4aac7407 |
completed | March 8, 2026, 6:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b48859949081908fd8291bf6a3372b |
completed | March 13, 2026, 9:57 p.m. |
| NEDg | Description generation | batch_69b48aede85481909f4fc17c3968f285 |
completed | March 13, 2026, 10:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4b95fae2c819091d8cc1d86eb091d |
completed | March 14, 2026, 1:26 a.m. |
Created at: March 8, 2026, 3:25 p.m.