Triple
T20409459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In Your Mind |
E500550
|
entity |
| Predicate | featuresMusician |
P20942
|
FINISHED |
| Object | Mel Collins |
—
|
NE NERFINISHED |
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: Mel Collins | Statement: [In Your Mind, featuresMusician, Mel Collins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mel Collins Context triple: [In Your Mind, featuresMusician, Mel Collins]
-
A.
Mel Collins
chosen
Mel Collins is an English saxophonist and flautist best known for his work in progressive rock, including extensive recordings and tours with bands like King Crimson and Camel.
-
B.
Nic Collins
Nic Collins is a drummer best known for performing with Genesis and his father Phil Collins on recent tours.
-
C.
Mo Collins
Mo Collins is an American actress and comedian best known for her sketch comedy work and memorable characters on the television series MADtv.
-
D.
Leo Collins
Leo Collins is the devoted husband and central protagonist in the romantic drama film "The Vow," struggling to help his wife remember their life together after she loses her memory.
-
E.
Dennis Collins
Dennis Collins is an American entrepreneur and classic car expert best known for his extensive work in automotive restoration and appearances on car-related television programs.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a3e0c1c8190be39d7f09c839dfa |
completed | April 20, 2026, 7:10 p.m. |
Created at: April 16, 2026, 11:29 a.m.