Triple
T3672747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lost in Translation |
E77916
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Ross Katz
Ross Katz is an American film producer and director known for his work on acclaimed independent films such as "Lost in Translation."
|
E377592
|
NE FINISHED |
How this triple was built (4 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: Ross Katz | Statement: [Lost in Translation, producer, Ross Katz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ross Katz Context triple: [Lost in Translation, producer, Ross Katz]
-
A.
Jason Katz
Jason Katz is an American screenwriter and story artist best known for his work on Pixar animated films.
-
B.
Don Katz
Don Katz is an American entrepreneur and author best known as the founder of the audiobook and spoken-word entertainment company Audible.
-
C.
Ryan Roslansky
Ryan Roslansky is the CEO of LinkedIn, known for leading the professional networking platform’s product and business strategy.
-
D.
Mark Rosner
Mark Rosner is a screenwriter best known for co-writing the 1996 action film "The Rock."
-
E.
Matt Weitzman
Matt Weitzman is an American television writer and producer best known as a co-creator and executive producer of the animated series "American Dad!"
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ross Katz Triple: [Lost in Translation, producer, Ross Katz]
Generated description
Ross Katz is an American film producer and director known for his work on acclaimed independent films such as "Lost in Translation."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ross Katz Target entity description: Ross Katz is an American film producer and director known for his work on acclaimed independent films such as "Lost in Translation."
-
A.
Jason Katz
Jason Katz is an American screenwriter and story artist best known for his work on Pixar animated films.
-
B.
Don Katz
Don Katz is an American entrepreneur and author best known as the founder of the audiobook and spoken-word entertainment company Audible.
-
C.
Ryan Roslansky
Ryan Roslansky is the CEO of LinkedIn, known for leading the professional networking platform’s product and business strategy.
-
D.
Mark Rosner
Mark Rosner is a screenwriter best known for co-writing the 1996 action film "The Rock."
-
E.
Matt Weitzman
Matt Weitzman is an American television writer and producer best known as a co-creator and executive producer of the animated series "American Dad!"
- F. None of above. chosen
Provenance (5 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_69ad85e083008190b2e1b7085fe500bd |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc42f82548190b4d5f0fe7250decb |
completed | March 8, 2026, 6:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b488526214819092abb95f7cf119d5 |
completed | March 13, 2026, 9:57 p.m. |
| NEDg | Description generation | batch_69b48acb7dfc8190a862dce9a22c5c8f |
completed | March 13, 2026, 10:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4af280b688190a35a227f7581a9ae |
completed | March 14, 2026, 12:43 a.m. |
Created at: March 8, 2026, 3:25 p.m.