Triple
T21176603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joey Bishop |
E521827
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Gottlieb |
—
|
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: Gottlieb | Statement: [Joey Bishop, familyName, Gottlieb]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gottlieb Context triple: [Joey Bishop, familyName, Gottlieb]
-
A.
Gottlieb
chosen
Gottlieb is a German-origin surname commonly borne by individuals of Central European descent.
-
B.
Gottlieb
Gottlieb is the middle name of the influential German philosopher Johann Gottlieb Fichte, a key figure in German idealism.
-
C.
Gottlieb
Gottlieb is a fictional scientist character from the "Pacific Rim" film series, known for his eccentric personality and expertise in studying Kaiju.
-
D.
Seeburg
Seeburg is the former German name of the town now known as Jeziorany in northern Poland.
-
E.
Rudolph Wurlitzer
Rudolph Wurlitzer was a German-American businessman and founder of the Wurlitzer Company, famed for producing musical instruments and theater organs that became iconic in early 20th-century entertainment.
- 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_69e0b50ef1d48190b063aa342667df22 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e730197cfc8190bde13453b761886b |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 3 p.m.