Triple
T23354642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Sacher |
E593010
|
entity |
| Predicate | commissionedWorkFrom |
P6064
|
FINISHED |
| Object | Frank Martin |
—
|
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: Frank Martin | Statement: [Paul Sacher, commissionedWorkFrom, Frank Martin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frank Martin Context triple: [Paul Sacher, commissionedWorkFrom, Frank Martin]
-
A.
Frank Martin
Frank Martin is an American college basketball coach best known for leading Kansas State to multiple NCAA Tournament appearances and later guiding South Carolina to the Final Four.
-
B.
Frank Martin
Frank Martin is a music producer best known for his work on the soul and R&B album "Let Me Be Your Angel."
-
C.
Frank Martin
chosen
Frank Martin is a Swiss composer best known for his 20th-century classical works that blend traditional forms with modern harmonic language.
-
D.
Frank Martin
Frank Martin is the highly skilled, rule-bound professional driver and courier at the center of the action film series "The Transporter."
-
E.
Felix Salzer
Felix Salzer was an Austrian-born music theorist and pedagogue known for advancing and disseminating Heinrich Schenker’s analytical methods in the United States.
- 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_69e25d24d2a4819092e6ede74c2a918d |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19a169bb88190a2ca659fce1133e5 |
completed | April 29, 2026, 5:41 a.m. |
Created at: April 17, 2026, 5:20 p.m.