Triple
T13718184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doctor's Advocate |
E328957
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Mike Chav
Mike Chav is a music producer and engineer known for his work on hip-hop projects, including contributions to The Game’s album "Doctor's Advocate."
|
E1057186
|
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 Chav | Statement: [Doctor's Advocate, producer, Mike Chav]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Chav Context triple: [Doctor's Advocate, producer, Mike Chav]
-
A.
Chris Mills
Chris Mills is a former American professional basketball player who played as a forward in the NBA during the 1990s and early 2000s.
-
B.
John Melvin
John Melvin was a Concord, Massachusetts native whose memory is honored by the Melvin Memorial, likely for his service and sacrifice, possibly in a military conflict.
-
C.
Matthew Downey
Matthew Downey is an individual associated with or making use of something referred to as "Downey," though publicly available distinguishing information about him is limited.
-
D.
Michael Maher
Michael Maher is a film producer known for his work on the movie "Passengers."
-
E.
Malcolm Tucker
Malcolm Tucker is a foul-mouthed, ruthlessly manipulative political spin doctor from the British television series "The Thick of It."
- 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 Chav Triple: [Doctor's Advocate, producer, Mike Chav]
Generated description
Mike Chav is a music producer and engineer known for his work on hip-hop projects, including contributions to The Game’s album "Doctor's Advocate."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mike Chav Target entity description: Mike Chav is a music producer and engineer known for his work on hip-hop projects, including contributions to The Game’s album "Doctor's Advocate."
-
A.
Chris Mills
Chris Mills is a former American professional basketball player who played as a forward in the NBA during the 1990s and early 2000s.
-
B.
John Melvin
John Melvin was a Concord, Massachusetts native whose memory is honored by the Melvin Memorial, likely for his service and sacrifice, possibly in a military conflict.
-
C.
Matthew Downey
Matthew Downey is an individual associated with or making use of something referred to as "Downey," though publicly available distinguishing information about him is limited.
-
D.
Michael Maher
Michael Maher is a film producer known for his work on the movie "Passengers."
-
E.
Malcolm Tucker
Malcolm Tucker is a foul-mouthed, ruthlessly manipulative political spin doctor from the British television series "The Thick of It."
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dd4398f0448190810c840a82228706 |
completed | April 13, 2026, 7:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d5a23bc8190942568658665bbb0 |
completed | May 3, 2026, 7:09 p.m. |
| NEDg | Description generation | batch_69f79f1051b48190ac4704b43e759237 |
completed | May 3, 2026, 7:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f79fdf974081909108b0fd89e76d56 |
completed | May 3, 2026, 7:19 p.m. |
Created at: April 9, 2026, 9:55 p.m.