Triple
T17384462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dizzy Gillespie |
E422652
|
entity |
| Predicate | middleName |
P143
|
FINISHED |
| Object | Birks |
—
|
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: Birks | Statement: [Dizzy Gillespie, middleName, Birks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Birks Context triple: [Dizzy Gillespie, middleName, Birks]
-
A.
Birks
chosen
Birks is the distinctive middle name of legendary American jazz trumpeter and bebop pioneer Dizzy Gillespie.
-
B.
Sorel Bliss
Sorel Bliss is a spirited and theatrically inclined young woman in Noël Coward’s comedy "Hay Fever," known for her dramatic flair and self-absorbed charm within the eccentric Bliss family.
-
C.
Superga
Superga is a hill near Turin in northern Italy best known for the Basilica of Superga, a major example of Piedmontese Baroque architecture and the site of the 1949 Torino football team air disaster.
-
D.
Dr. Martens
Dr. Martens is a British footwear and clothing brand best known for its durable leather boots with air-cushioned soles, which have become iconic in various subcultures worldwide.
-
E.
Bata
Bata is a major port city on the mainland of Equatorial Guinea, serving as a key economic and transportation hub for the country.
- 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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a88b32481909b120349e169c670 |
completed | April 19, 2026, 2:14 a.m. |
Created at: April 10, 2026, 5:45 a.m.