Triple
T12187949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Elephant Man |
E290384
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Jonathan Sanger
Jonathan Sanger is an American film producer and director best known for his work on acclaimed films such as "The Elephant Man."
|
E1005441
|
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: Jonathan Sanger | Statement: [The Elephant Man, producer, Jonathan Sanger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jonathan Sanger Context triple: [The Elephant Man, producer, Jonathan Sanger]
-
A.
Mark Sanger
Mark Sanger is a British film editor best known for his Academy Award–winning work on the science fiction thriller "Gravity."
-
B.
Grant Sanger
Grant Sanger was one of the children of birth control activist and Planned Parenthood founder Margaret Sanger.
-
C.
Michael Healey
Michael Healey is a Canadian playwright and actor best known for his acclaimed play "The Drawer Boy" and his contributions to contemporary Canadian theatre.
-
D.
Matthew Aldrich
Matthew Aldrich is an American screenwriter best known for co-writing Pixar’s Academy Award–winning animated film "Coco."
-
E.
Michael Boughen
Michael Boughen is a film producer known for his work on action and thriller movies, including the Jason Statham–starring film "Killer Elite."
- 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: Jonathan Sanger Triple: [The Elephant Man, producer, Jonathan Sanger]
Generated description
Jonathan Sanger is an American film producer and director best known for his work on acclaimed films such as "The Elephant Man."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jonathan Sanger Target entity description: Jonathan Sanger is an American film producer and director best known for his work on acclaimed films such as "The Elephant Man."
-
A.
Mark Sanger
Mark Sanger is a British film editor best known for his Academy Award–winning work on the science fiction thriller "Gravity."
-
B.
Grant Sanger
Grant Sanger was one of the children of birth control activist and Planned Parenthood founder Margaret Sanger.
-
C.
Michael Healey
Michael Healey is a Canadian playwright and actor best known for his acclaimed play "The Drawer Boy" and his contributions to contemporary Canadian theatre.
-
D.
Matthew Aldrich
Matthew Aldrich is an American screenwriter best known for co-writing Pixar’s Academy Award–winning animated film "Coco."
-
E.
Michael Boughen
Michael Boughen is a film producer known for his work on action and thriller movies, including the Jason Statham–starring film "Killer Elite."
- 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_69d6ab64de5881908d56eb7a75c6cc69 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d916012c2c819085824332ad60059e |
completed | April 10, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68e9fc934819089f68bcc823015da |
completed | May 2, 2026, 11:54 p.m. |
| NEDg | Description generation | batch_69f69277d3d88190abce800c01a8026c |
completed | May 3, 2026, 12:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6938150608190a61206cefa3eca1e |
completed | May 3, 2026, 12:14 a.m. |
Created at: April 8, 2026, 9:50 p.m.