Triple
T13828187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ryan Dusick |
E332308
|
entity |
| Predicate | bandmate |
P7955
|
FINISHED |
| Object | Mickey Madden |
E267742
|
NE FINISHED |
How this triple was built (2 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: Mickey Madden | Statement: [Ryan Dusick, bandmate, Mickey Madden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mickey Madden Context triple: [Ryan Dusick, bandmate, Mickey Madden]
-
A.
Mickey Madden
chosen
Mickey Madden is an American musician best known as the longtime bassist for the pop-rock band Maroon 5.
-
B.
Mickey Donovan
Mickey Donovan is a manipulative, charismatic ex-con and the deeply flawed, troublemaking father of the title character in the television drama "Ray Donovan."
-
C.
Mickey Moran
Mickey Moran is the ambitious, idealistic teenager who leads a group of kids in putting on a show in the classic 1939 musical film "Babes in Arms."
-
D.
Mickey Marr
Mickey Marr was the husband of comedian and acting coach Sally Marr, known primarily in relation to her life and career.
-
E.
Micky Flanagan
Micky Flanagan is a British stand-up comedian known for his observational humor and popular live tours and television appearances.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02970df88190a1bf35dffd131d9d |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0eb7f44819087b1d24e4235a972 |
completed | May 3, 2026, 9:40 p.m. |
Created at: April 9, 2026, 10:13 p.m.