Triple
T20855608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Mitchell |
E513470
|
entity |
| Predicate | televisionRole |
P1668
|
FINISHED |
| Object |
Mark Sanger
Mark Sanger is a fictional character from the 1970s American television series "Ironside," known as the young assistant and bodyguard to wheelchair-bound detective Robert T. Ironside.
|
E1467856
|
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: Mark Sanger | Statement: [Don Mitchell, televisionRole, Mark Sanger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Sanger Context triple: [Don Mitchell, televisionRole, Mark 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.
Jonathan Sanger
Jonathan Sanger is an American film producer and director best known for his work on acclaimed films such as "The Elephant Man."
-
D.
James Sanger
James Sanger is a British record producer and songwriter known for his work with a wide range of rock and alternative artists.
-
E.
Stuart Sanger
Stuart Sanger was one of the children of birth control activist and Planned Parenthood founder Margaret Sanger.
- 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: Mark Sanger Triple: [Don Mitchell, televisionRole, Mark Sanger]
Generated description
Mark Sanger is a fictional character from the 1970s American television series "Ironside," known as the young assistant and bodyguard to wheelchair-bound detective Robert T. Ironside.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mark Sanger Target entity description: Mark Sanger is a fictional character from the 1970s American television series "Ironside," known as the young assistant and bodyguard to wheelchair-bound detective Robert T. Ironside.
-
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.
Jonathan Sanger
Jonathan Sanger is an American film producer and director best known for his work on acclaimed films such as "The Elephant Man."
-
D.
James Sanger
James Sanger is a British record producer and songwriter known for his work with a wide range of rock and alternative artists.
-
E.
Stuart Sanger
Stuart Sanger was one of the children of birth control activist and Planned Parenthood founder Margaret Sanger.
- 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_69e0b4f5b01081909452f654d2fc3f50 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c3a81ac4819084a07625b8ed4ec5 |
completed | April 21, 2026, 12:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0965cd0b548190be47c7896c754c8d |
completed | May 17, 2026, 6:53 a.m. |
| NEDg | Description generation | batch_6a09670987f0819086b021581db69c85 |
completed | May 17, 2026, 6:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0967cefab08190b01e2c897f081105 |
completed | May 17, 2026, 7:01 a.m. |
Created at: April 16, 2026, 12:44 p.m.