Triple
T13056491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hubert Laws |
E327588
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Hubert Laws |
E327588
|
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: Hubert Laws | Statement: [Hubert Laws, name, Hubert Laws]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hubert Laws Context triple: [Hubert Laws, name, Hubert Laws]
-
A.
Hubert Laws
chosen
Hubert Laws is an acclaimed American flutist known for his virtuosic blend of jazz, classical, and pop music.
-
B.
William Henderson
William Henderson was an early settler and landowner after whom the town of Henderson in Jefferson County, New York, was named.
-
C.
Paul Gonsalves
Paul Gonsalves was an American jazz tenor saxophonist best known for his long, electrifying solo with Duke Ellington at the 1956 Newport Jazz Festival, which helped revitalize Ellington’s career.
-
D.
Thad Jones
Thad Jones was an influential American jazz trumpeter, composer, and bandleader known for his sophisticated arrangements and co-leading the Thad Jones/Mel Lewis Orchestra.
-
E.
Mitch Henderson
Mitch Henderson is an American college basketball coach best known for leading the Princeton University men’s basketball program.
- 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980bd305c8190bcf191b2d35ec8de |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbdead348190aa7aaa29c371d72a |
completed | May 3, 2026, 4:15 a.m. |
Created at: April 9, 2026, 8:58 p.m.