Triple
T17217537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Man with the Golden Gun (film) |
E417890
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | John Shirley |
E869409
|
NE FINISHED |
How this triple was built (2 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: [The Man with the Golden Gun (film), editor, John Shirley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Shirley Context triple: [The Man with the Golden Gun (film), editor, John Shirley]
-
A.
John Shirley
chosen
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."
-
B.
Charles Beaumont
Charles Beaumont was an American writer best known for his influential and often macabre scripts for the television series The Twilight Zone.
-
C.
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."
-
D.
Raymond Boyd
Raymond Boyd is a linguist known for his research on the Adamawa–Ubangi branch of the Niger-Congo language family.
-
E.
Stanley Ellin
Stanley Ellin was an American mystery writer renowned for his meticulously crafted short stories and influential contributions to the crime and detective fiction genre.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42dda6e6c81908dd96f653cd2cba0 |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01675381a0819094ed04eac636440b |
completed | May 11, 2026, 5:21 a.m. |
Created at: April 10, 2026, 5:38 a.m.