Triple
T8207635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Night Club Lady |
E191726
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Ted Tetzlaff |
E404535
|
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: Ted Tetzlaff | Statement: [The Night Club Lady, cinematographyBy, Ted Tetzlaff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ted Tetzlaff Context triple: [The Night Club Lady, cinematographyBy, Ted Tetzlaff]
-
A.
Ted Tetzlaff
chosen
Ted Tetzlaff was an American cinematographer and film director best known for his stylish black-and-white photography on classic Hollywood films of the 1930s and 1940s.
-
B.
Eric Lamonsoff
Eric Lamonsoff is a bumbling yet big-hearted family man and close friend of Lenny Feder in the Grown Ups comedy film series.
-
C.
Eric Wetzels
Eric Wetzels is a Dutch politician who serves as the chairperson of the People's Party for Freedom and Democracy (VVD).
-
D.
Ed Schafer
Ed Schafer is an American politician and businessman who served as Governor of North Dakota and later as the United States Secretary of Agriculture under President George W. Bush.
-
E.
Kevin Biegel
Kevin Biegel is an American television writer and producer best known for co-creating the sitcom Cougar Town and working on shows like Scrubs and Enlisted.
- 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_69ca82c7f3e08190857bf1fc63b2a10c |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb726d26ec8190957da68227f5ce61 |
completed | March 31, 2026, 7:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc69b9b8c819082a164433312166e |
completed | April 2, 2026, 1:30 a.m. |
Created at: March 30, 2026, 5:43 p.m.