Triple
T6009564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bobby and the Midnites |
E133797
|
entity |
| Predicate | harmonicaPlayer |
P12601
|
FINISHED |
| Object | Matthew Kelly |
E555919
|
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: Matthew Kelly | Statement: [Bobby and the Midnites, harmonicaPlayer, Matthew Kelly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matthew Kelly Context triple: [Bobby and the Midnites, harmonicaPlayer, Matthew Kelly]
-
A.
Matthew Kelly
chosen
Matthew Kelly is an American musician best known as a guitarist and pedal steel player associated with the Grateful Dead family of bands, including RatDog.
-
B.
Timothy Kelly
Timothy Kelly is the son of legendary American dancer, actor, and director Gene Kelly.
-
C.
Tim O'Kelly
Tim O'Kelly is an American actor best known for his role as the young police officer in Peter Bogdanovich's 1968 film "Targets."
-
D.
Andrew Kelley
Andrew Kelley is a software engineer best known as the creator and lead developer of the Zig programming language.
-
E.
Sean Kilpatrick
Sean Kilpatrick is an American professional basketball player known for his scoring ability as a guard in the NBA and overseas leagues.
- 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_69c0087361a48190905c6b55969852b8 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04f4e27a881909cc3f7fef62abc3b |
completed | March 22, 2026, 8:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11ce452748190b8b798a5cc2922f2 |
completed | March 23, 2026, 10:58 a.m. |
Created at: March 22, 2026, 4:06 p.m.