Triple
T8574297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Return to Salem's Lot |
E203007
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Armond Lebowitz
Armond Lebowitz is a film editor known for his work on genre movies, including the horror film "A Return to Salem's Lot."
|
E772226
|
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: Armond Lebowitz | Statement: [A Return to Salem's Lot, editedBy, Armond Lebowitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Armond Lebowitz Context triple: [A Return to Salem's Lot, editedBy, Armond Lebowitz]
-
A.
John Altschuler
John Altschuler is an American television writer and producer best known for co-creating and producing the animated series "King of the Hill" and "Silicon Valley."
-
B.
Leo Salkin
Leo Salkin was an American animator, writer, and storyboard artist known for his work on mid-20th-century animated films and shorts.
-
C.
Myron Futterman
Myron Futterman was an American businessman best known for being the first husband of actress Jane Wyman.
-
D.
Guy Rothblum
Guy Rothblum is a theoretical computer scientist known for his work in cryptography and complexity theory.
-
E.
Allen Boretz
Allen Boretz was an American playwright and screenwriter best known for his work in mid-20th-century theater and film comedies.
- 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: Armond Lebowitz Triple: [A Return to Salem's Lot, editedBy, Armond Lebowitz]
Generated description
Armond Lebowitz is a film editor known for his work on genre movies, including the horror film "A Return to Salem's Lot."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Armond Lebowitz Target entity description: Armond Lebowitz is a film editor known for his work on genre movies, including the horror film "A Return to Salem's Lot."
-
A.
John Altschuler
John Altschuler is an American television writer and producer best known for co-creating and producing the animated series "King of the Hill" and "Silicon Valley."
-
B.
Leo Salkin
Leo Salkin was an American animator, writer, and storyboard artist known for his work on mid-20th-century animated films and shorts.
-
C.
Myron Futterman
Myron Futterman was an American businessman best known for being the first husband of actress Jane Wyman.
-
D.
Guy Rothblum
Guy Rothblum is a theoretical computer scientist known for his work in cryptography and complexity theory.
-
E.
Allen Boretz
Allen Boretz was an American playwright and screenwriter best known for his work in mid-20th-century theater and film comedies.
- 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_69ca8328ebe481909a8c038fa79959b4 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbea947f188190af469babaa73ddf6 |
completed | March 31, 2026, 3:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd069faa481908db58399fe8f72f1 |
completed | April 3, 2026, 2:36 p.m. |
| NEDg | Description generation | batch_69cfd4b514b48190ab3abcd549741362 |
completed | April 3, 2026, 2:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfd516372c81909bf7016652d3b098 |
completed | April 3, 2026, 2:56 p.m. |
Created at: March 30, 2026, 6:21 p.m.