Triple
T22258289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Last Stand |
E550148
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Andrew Knauer
Andrew Knauer is a screenwriter best known for his work on action films, including the Arnold Schwarzenegger–led movie "The Last Stand."
|
E1533511
|
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: Andrew Knauer | Statement: [The Last Stand, screenwriter, Andrew Knauer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrew Knauer Context triple: [The Last Stand, screenwriter, Andrew Knauer]
-
A.
Paul Knabenshue
Paul Knabenshue was an American diplomat best known for serving as the first U.S. Ambassador to Iraq in the early 20th century.
-
B.
Michael Knost
Michael Knost is an American author and editor best known for his work in horror and speculative fiction, particularly within the Appalachian gothic tradition.
-
C.
Daniel Knauf
Daniel Knauf is an American television writer and producer best known for creating the HBO series "Carnivàle."
-
D.
Andrew Ruhemann
Andrew Ruhemann is a British film producer and co-founder of the animation studio Passion Pictures, known for his work on acclaimed animated and live-action projects.
-
E.
Michael Tuchner
Michael Tuchner was a British film and television director known for his work on crime dramas and character-driven stories in the 1960s and 1970s.
- 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: Andrew Knauer Triple: [The Last Stand, screenwriter, Andrew Knauer]
Generated description
Andrew Knauer is a screenwriter best known for his work on action films, including the Arnold Schwarzenegger–led movie "The Last Stand."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Andrew Knauer Target entity description: Andrew Knauer is a screenwriter best known for his work on action films, including the Arnold Schwarzenegger–led movie "The Last Stand."
-
A.
Paul Knabenshue
Paul Knabenshue was an American diplomat best known for serving as the first U.S. Ambassador to Iraq in the early 20th century.
-
B.
Michael Knost
Michael Knost is an American author and editor best known for his work in horror and speculative fiction, particularly within the Appalachian gothic tradition.
-
C.
Daniel Knauf
Daniel Knauf is an American television writer and producer best known for creating the HBO series "Carnivàle."
-
D.
Andrew Ruhemann
Andrew Ruhemann is a British film producer and co-founder of the animation studio Passion Pictures, known for his work on acclaimed animated and live-action projects.
-
E.
Michael Tuchner
Michael Tuchner was a British film and television director known for his work on crime dramas and character-driven stories in the 1960s and 1970s.
- 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_69e11e42adb8819087714772ea606709 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f138c4bff48190b4be83f5f7677ac8 |
completed | April 28, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ae9a5e1448190845c2126680bff3d |
completed | May 18, 2026, 10:27 a.m. |
| NEDg | Description generation | batch_6a0aea4e49ec8190919e071fd71e62ae |
completed | May 18, 2026, 10:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0aeab115c48190859f25e37e0eefe8 |
completed | May 18, 2026, 10:32 a.m. |
Created at: April 16, 2026, 8:39 p.m.