Triple
T9397019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shadow of the Vampire |
E226168
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Steven A. Katz
Steven A. Katz is an American screenwriter best known for writing the metafictional horror film "Shadow of the Vampire."
|
E819389
|
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: Steven A. Katz | Statement: [Shadow of the Vampire, screenwriter, Steven A. Katz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steven A. Katz Context triple: [Shadow of the Vampire, screenwriter, Steven A. Katz]
-
A.
Don Katz
Don Katz is an American entrepreneur and author best known as the founder of the audiobook and spoken-word entertainment company Audible.
-
B.
Jay O. Rothman
Jay O. Rothman is an American attorney and academic leader who serves as president of the University of Wisconsin System.
-
C.
Daniel Katz
Daniel Katz is an environmental activist and social entrepreneur best known for co-founding the Rainforest Alliance, a leading international conservation and sustainability organization.
-
D.
David Lanzenberg
David Lanzenberg is a film cinematographer known for his work on feature films such as "Paper Towns."
-
E.
J. David Siegel
J. David Siegel is a film editor known for his work on major animated features, including the superhero comedy "DC League of Super-Pets."
- 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: Steven A. Katz Triple: [Shadow of the Vampire, screenwriter, Steven A. Katz]
Generated description
Steven A. Katz is an American screenwriter best known for writing the metafictional horror film "Shadow of the Vampire."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Steven A. Katz Target entity description: Steven A. Katz is an American screenwriter best known for writing the metafictional horror film "Shadow of the Vampire."
-
A.
Don Katz
Don Katz is an American entrepreneur and author best known as the founder of the audiobook and spoken-word entertainment company Audible.
-
B.
Jay O. Rothman
Jay O. Rothman is an American attorney and academic leader who serves as president of the University of Wisconsin System.
-
C.
Daniel Katz
Daniel Katz is an environmental activist and social entrepreneur best known for co-founding the Rainforest Alliance, a leading international conservation and sustainability organization.
-
D.
David Lanzenberg
David Lanzenberg is a film cinematographer known for his work on feature films such as "Paper Towns."
-
E.
J. David Siegel
J. David Siegel is a film editor known for his work on major animated features, including the superhero comedy "DC League of Super-Pets."
- 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_69ca842f7e3481908bf5bcf52e032dbd |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd51528b2481908ca1f1840d2594b4 |
completed | April 1, 2026, 5:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1bca63c3c819084aec1c0bb962ffe |
completed | April 5, 2026, 1:36 a.m. |
| NEDg | Description generation | batch_69d1bd42e3888190b13970710a9620d7 |
completed | April 5, 2026, 1:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1bdd5ec94819083edd1cb2c9598a0 |
completed | April 5, 2026, 1:41 a.m. |
Created at: March 30, 2026, 7:46 p.m.