Triple
T16648360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ted Tetzlaff |
E404535
|
entity |
| Predicate | name |
P16
|
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: [Ted Tetzlaff, name, Ted Tetzlaff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ted Tetzlaff Context triple: [Ted Tetzlaff, name, 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 Tull
Eric Tull is the central character in the 2013 drama film "A Teacher," which follows his illicit relationship with a high school teacher and its emotional consequences.
-
C.
Andy Pforsich
Andy Pforsich is a voice actor known for his work in the Peanuts animated film "A Boy Named Charlie Brown."
-
D.
Geoff Peterson
Geoff Peterson is the skeletal robot sidekick and comedic foil featured on The Late Late Show with Craig Ferguson.
-
E.
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.
- 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ad794388190b2817d2ec5ff0de0 |
completed | April 18, 2026, 12:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084c0e37c819080161d522069aa1d |
completed | May 10, 2026, 1:14 p.m. |
Created at: April 10, 2026, 5:18 a.m.