Triple
T14559094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love? |
E341620
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Mike Caren
Mike Caren is an American music executive and record producer known for discovering and developing major hip-hop and pop artists through his work with labels like Atlantic Records and Artist Publishing Group.
|
E1107443
|
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 Caren | Statement: [Love?, producer, Mike Caren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Caren Context triple: [Love?, producer, Mike Caren]
-
A.
Mike Dailey
Mike Dailey is an American arena football coach best known for leading the Albany Firebirds and later the Colorado Crush to success in the Arena Football League.
-
B.
Mike McNeil
Mike McNeil is a software developer best known as the creator of the Sails.js Node.js web framework.
-
C.
Mike Rodden
Mike Rodden is a musician best known as a member of the American rock band Hinder.
-
D.
Mike Piscitelli
Mike Piscitelli is a filmmaker and photographer known for his music videos, commercials, and visual collaborations with various artists.
-
E.
Mike Gaffey
Mike Gaffey is a songwriter best known for co-writing the track "RITMO (Bad Boys for Life)."
- 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 Caren Triple: [Love?, producer, Mike Caren]
Generated description
Mike Caren is an American music executive and record producer known for discovering and developing major hip-hop and pop artists through his work with labels like Atlantic Records and Artist Publishing Group.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mike Caren Target entity description: Mike Caren is an American music executive and record producer known for discovering and developing major hip-hop and pop artists through his work with labels like Atlantic Records and Artist Publishing Group.
-
A.
Mike Dailey
Mike Dailey is an American arena football coach best known for leading the Albany Firebirds and later the Colorado Crush to success in the Arena Football League.
-
B.
Mike McNeil
Mike McNeil is a software developer best known as the creator of the Sails.js Node.js web framework.
-
C.
Mike Rodden
Mike Rodden is a musician best known as a member of the American rock band Hinder.
-
D.
Mike Piscitelli
Mike Piscitelli is a filmmaker and photographer known for his music videos, commercials, and visual collaborations with various artists.
-
E.
Mike Gaffey
Mike Gaffey is a songwriter best known for co-writing the track "RITMO (Bad Boys for Life)."
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb3881b788190922932fb8ff81160 |
completed | April 14, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8ac003b08190923d469b3422cdab |
completed | May 8, 2026, 7:03 a.m. |
| NEDg | Description generation | batch_69fd8b2989288190812565b3b59ad1fc |
completed | May 8, 2026, 7:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd8db224948190ac797626aa0c38ec |
completed | May 8, 2026, 7:16 a.m. |
Created at: April 10, 2026, 1:23 a.m.