Triple
T18922237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Condor |
E462885
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object | Todd Katzberg |
—
|
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: Todd Katzberg | Statement: [Condor, developer, Todd Katzberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Todd Katzberg Context triple: [Condor, developer, Todd Katzberg]
-
A.
Todd Katzberg
chosen
Todd Katzberg is a television writer and producer best known for co-creating the CIA thriller series "Condor."
-
B.
Jason Katz
Jason Katz is an American screenwriter and story artist best known for his work on Pixar animated films.
-
C.
Don Katz
Don Katz is an American entrepreneur and author best known as the founder of the audiobook and spoken-word entertainment company Audible.
-
D.
Ross Katz
Ross Katz is an American film producer and director known for his work on acclaimed independent films such as "Lost in Translation."
-
E.
Peter Katz
Peter Katz is a film producer best known for his work on the horror film "Don't Look Now."
- 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_69d8dcfdbbb881909964fa5a75bd0b48 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c9b4822c8190a0aeceb4499e775e |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 10, 2026, 11:59 a.m.