Triple
T10526317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Superman IV: The Quest for Peace |
E248313
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object |
John Shirley
John Shirley is a film editor best known for his work on major motion pictures, including the superhero sequel "Superman IV: The Quest for Peace."
|
E869409
|
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: John Shirley | Statement: [Superman IV: The Quest for Peace, editor, John Shirley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Shirley Context triple: [Superman IV: The Quest for Peace, editor, John Shirley]
-
A.
Charles Beaumont
Charles Beaumont was an American writer best known for his influential and often macabre scripts for the television series The Twilight Zone.
-
B.
Henry Beam Piper
Henry Beam Piper was an American science fiction author best known for his mid-20th-century works such as the Terro-Human Future History stories and the novel "Little Fuzzy."
-
C.
Raymond Boyd
Raymond Boyd is a linguist known for his research on the Adamawa–Ubangi branch of the Niger-Congo language family.
-
D.
Walter Miller
Walter Miller was an early 20th-century American film actor known for his work in silent cinema.
-
E.
Patricia P. Frank
Patricia P. Frank is a screenwriter known for her work on the classic comedy film "The Court Jester."
- 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: John Shirley Triple: [Superman IV: The Quest for Peace, editor, John Shirley]
Generated description
John Shirley is a film editor best known for his work on major motion pictures, including the superhero sequel "Superman IV: The Quest for Peace."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Shirley Target entity description: John Shirley is a film editor best known for his work on major motion pictures, including the superhero sequel "Superman IV: The Quest for Peace."
-
A.
Charles Beaumont
Charles Beaumont was an American writer best known for his influential and often macabre scripts for the television series The Twilight Zone.
-
B.
Henry Beam Piper
Henry Beam Piper was an American science fiction author best known for his mid-20th-century works such as the Terro-Human Future History stories and the novel "Little Fuzzy."
-
C.
Raymond Boyd
Raymond Boyd is a linguist known for his research on the Adamawa–Ubangi branch of the Niger-Congo language family.
-
D.
Walter Miller
Walter Miller was an early 20th-century American film actor known for his work in silent cinema.
-
E.
Patricia P. Frank
Patricia P. Frank is a screenwriter known for her work on the classic comedy film "The Court Jester."
- 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509f4bbe88190bce7789a56c85671 |
completed | April 7, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90e26c4908190b77d73c11bee6119 |
completed | April 10, 2026, 2:50 p.m. |
| NEDg | Description generation | batch_69d9107e8b94819086ebba1675a0db54 |
completed | April 10, 2026, 3 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d911a16b1481909197b00c30de48c4 |
completed | April 10, 2026, 3:05 p.m. |
Created at: April 6, 2026, 12:29 p.m.