Triple
T21429721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ciao Adios |
E528651
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Mason Levy |
—
|
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: Mason Levy | Statement: [Ciao Adios, writer, Mason Levy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mason Levy Context triple: [Ciao Adios, writer, Mason Levy]
-
A.
Mason Levy
chosen
Mason Levy is a songwriter best known for co-writing Justin Bieber’s hit single "What Do You Mean?".
-
B.
Michael Baca
Michael Baca is an American presidential elector known for his role in the landmark U.S. Supreme Court case Colorado Department of State v. Baca, which addressed whether states can penalize or replace “faithless electors” in the Electoral College.
-
C.
Michael Feuer
Michael Feuer is an American entrepreneur and business executive best known as the co-founder and longtime CEO of the office-supplies retail chain OfficeMax.
-
D.
Pat Foley
Pat Foley is a renowned American sportscaster best known as the longtime play-by-play announcer for the NHL’s Chicago Blackhawks.
-
E.
Howard Cunningham
Howard Cunningham is the affable, old-fashioned Milwaukee hardware store owner and father figure on the classic American sitcom "Happy Days."
- 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_69e0c455f3688190810bc96365791b0f |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee813ef6a8819089511b8f608c9491 |
completed | April 26, 2026, 9:18 p.m. |
Created at: April 16, 2026, 5:49 p.m.