Triple
T20898444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mississippi Grind |
E514604
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Scott Bomar |
—
|
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: Scott Bomar | Statement: [Mississippi Grind, musicBy, Scott Bomar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scott Bomar Context triple: [Mississippi Grind, musicBy, Scott Bomar]
-
A.
Scott Bomar
chosen
Scott Bomar is an American composer, producer, and musician known for his soul- and blues-infused film scores and work with the Memphis-based group The Bo-Keys.
-
B.
Matt Eversmann
Matt Eversmann is a former U.S. Army Ranger sergeant known for his leadership during the 1993 Battle of Mogadishu, later depicted in the film "Black Hawk Down."
-
C.
Bryden Allen
Bryden Allen is an Australian climber best known for leading the first successful ascent of the remote sea stack Ball's Pyramid in the Pacific Ocean.
-
D.
Brendan Morrow
Brendan Morrow is a Canadian former professional ice hockey forward best known for his long tenure and captaincy with the NHL’s Dallas Stars.
-
E.
Josh Bryant
Josh Bryant is an American musician and guitarist best known as the husband of Broadway and television star Kristin Chenoweth.
- 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_69e0b4f7ebe48190952a85547a0f31a1 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6e8f826788190b11008cc94b2a4e4 |
completed | April 21, 2026, 3:03 a.m. |
Created at: April 16, 2026, 12:47 p.m.