Triple
T1786891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RITMO (Bad Boys for Life) |
E39412
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
Mike Gaffey
Mike Gaffey is a songwriter best known for co-writing the track "RITMO (Bad Boys for Life)."
|
E267223
|
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: Mike Gaffey | Statement: [RITMO (Bad Boys for Life), writer, Mike Gaffey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Gaffey Context triple: [RITMO (Bad Boys for Life), writer, Mike Gaffey]
-
A.
Kevin Gage
Kevin Gage is an American actor best known for his intense supporting roles in films such as "Heat" and "G.I. Jane."
-
B.
Greg Finton
Greg Finton is a film editor known for his work on documentaries and feature films, including the acclaimed documentary "He Named Me Malala."
-
C.
Michael Ferris
Michael Ferris is an American screenwriter best known for co-writing major studio films such as "Terminator Salvation" and "The Net."
-
D.
Mike Gartner
Mike Gartner is a Canadian Hall of Fame right winger renowned as one of the NHL’s most prolific goal scorers, surpassing 700 career goals over a 19-season career.
-
E.
Jeffrey Fuller
Jeffrey Fuller is known primarily as the son of prominent American lawyer, feminist, and civil liberties advocate Crystal Eastman.
- 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: Mike Gaffey Triple: [RITMO (Bad Boys for Life), writer, Mike Gaffey]
Generated description
Mike Gaffey is a songwriter best known for co-writing the track "RITMO (Bad Boys for Life)."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mike Gaffey Target entity description: Mike Gaffey is a songwriter best known for co-writing the track "RITMO (Bad Boys for Life)."
-
A.
Kevin Gage
Kevin Gage is an American actor best known for his intense supporting roles in films such as "Heat" and "G.I. Jane."
-
B.
Greg Finton
Greg Finton is a film editor known for his work on documentaries and feature films, including the acclaimed documentary "He Named Me Malala."
-
C.
Michael Ferris
Michael Ferris is an American screenwriter best known for co-writing major studio films such as "Terminator Salvation" and "The Net."
-
D.
Mike Gartner
Mike Gartner is a Canadian Hall of Fame right winger renowned as one of the NHL’s most prolific goal scorers, surpassing 700 career goals over a 19-season career.
-
E.
Jeffrey Fuller
Jeffrey Fuller is known primarily as the son of prominent American lawyer, feminist, and civil liberties advocate Crystal Eastman.
- 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_69a88631854081909723959921e45c2b |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa650ea238819093a15df6f9d73e2d |
completed | March 6, 2026, 5:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aef071a6588190bf45a797b4d10f8b |
completed | March 9, 2026, 4:08 p.m. |
| NEDg | Description generation | batch_69aef56527308190923fc5394ba2521a |
completed | March 9, 2026, 4:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aef6450a1c8190ad5a844b31bff220 |
completed | March 9, 2026, 4:33 p.m. |
Created at: March 4, 2026, 7:32 p.m.