Triple
T10371531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Exorcist III |
E244394
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Todd C. Ramsay |
E498117
|
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: Todd C. Ramsay | Statement: [The Exorcist III, editedBy, Todd C. Ramsay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Todd C. Ramsay Context triple: [The Exorcist III, editedBy, Todd C. Ramsay]
-
A.
Todd C. Ramsay
chosen
Todd C. Ramsay was a film editor best known for his work on major Hollywood productions, including the science fiction classic Star Trek: The Motion Picture.
-
B.
Jamie D. Ramsay
Jamie D. Ramsay is a South African cinematographer known for his visually distinctive work on international feature films, including the 2022 drama "Living."
-
C.
Todd R. Jones
Todd R. Jones is a writer known for his work on the animated film "Rio."
-
D.
Todd A. Nelson
Todd A. Nelson is a television producer best known for his executive production work on the reality series "Bar Rescue."
-
E.
Craig A. Stough
Craig A. Stough is an American local government leader who serves as the mayor of Sylvania, Ohio.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e97ed09c8190a3627aa7b5eea62f |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7956469988190b5a9b2dfe062379f |
completed | April 9, 2026, 12:02 p.m. |
Created at: April 6, 2026, 12:01 p.m.