Triple
T15176446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Origins |
E362621
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Will Bates |
E928829
|
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: Will Bates | Statement: [I Origins, musicBy, Will Bates]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Will Bates Context triple: [I Origins, musicBy, Will Bates]
-
A.
Will Bates
chosen
Will Bates is a film and television composer known for his atmospheric and suspenseful scores across a range of genre projects.
-
B.
Kristopher Lee Bryant
Kristopher Lee Bryant is an American professional baseball player, primarily a third baseman and outfielder, known for his All-Star seasons and key role in helping the Chicago Cubs win the 2016 World Series.
-
C.
Martin Bates
Martin Bates is the brother of acclaimed English actor Alan Bates.
-
D.
Leo Parker
Leo Parker was an American baritone saxophonist known for his work in the bebop and hard bop jazz scenes of the 1940s and 1950s.
-
E.
Ormond Beatty
Ormond Beatty was a 19th-century American educator and academic administrator best known for serving as president of Centre College in Kentucky.
- 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0066236d481909e8ac47f496861ad |
completed | April 15, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef66b4f08190a072332123253166 |
completed | May 9, 2026, 8:25 a.m. |
Created at: April 10, 2026, 3:09 a.m.