Triple
T9110107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glory of Love |
E218577
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Michael Omartian |
E351996
|
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: Michael Omartian | Statement: [Glory of Love, producer, Michael Omartian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Omartian Context triple: [Glory of Love, producer, Michael Omartian]
-
A.
Michael Omartian
chosen
Michael Omartian is an American producer, keyboardist, and songwriter known for his extensive work in pop and contemporary Christian music, including co-producing major charity recordings and hit albums.
-
B.
Michael Armine
Michael Armine is an American musician and sound artist best known as the vocalist and noise/samples specialist for the post-metal band Rosetta.
-
C.
Michael Elias
Michael Elias is an American screenwriter, actor, and director best known for co-writing the hit comedy film "The Jerk" starring Steve Martin.
-
D.
Michael Leeson
Michael Leeson was an American television writer and producer best known for co-creating the groundbreaking sitcom "The Cosby Show."
-
E.
Michael D’Orso
Michael D’Orso is an American author and journalist known for co-writing influential nonfiction books, often chronicling social justice movements and notable public figures.
- 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_69ca83dc94ac8190b9ef42684d36ff39 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca845d9b0819084230e7cdd92dee0 |
completed | April 1, 2026, 5:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d03038dba48190991cb76576349bc3 |
completed | April 3, 2026, 9:25 p.m. |
Created at: March 30, 2026, 7:16 p.m.