Triple
T6628124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Vampire Diaries |
E149853
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object |
Bob Levy
Bob Levy is a television producer best known for his executive production work on popular series such as The Vampire Diaries.
|
E600931
|
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: Bob Levy | Statement: [The Vampire Diaries, executiveProducer, Bob Levy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bob Levy Context triple: [The Vampire Diaries, executiveProducer, Bob Levy]
-
A.
Sam Levy
Sam Levy is an American cinematographer best known for his frequent collaborations with director Noah Baumbach and his work on acclaimed independent films.
-
B.
Dave Trager
Dave Trager was a sports executive best known for owning the early NBA franchise that became the Chicago Packers.
-
C.
John Heyman
John Heyman was a British film and television producer and financier known for backing and producing a range of notable international films from the 1960s onward.
-
D.
Joe Weinstock
Joe Weinstock is a television producer best known for his executive production work on the science-themed docuseries "The End Is Nye."
-
E.
Bob Cmelik
Bob Cmelik is a computer engineer best known as one of the founders of the innovative microprocessor company Transmeta.
- 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: Bob Levy Triple: [The Vampire Diaries, executiveProducer, Bob Levy]
Generated description
Bob Levy is a television producer best known for his executive production work on popular series such as The Vampire Diaries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bob Levy Target entity description: Bob Levy is a television producer best known for his executive production work on popular series such as The Vampire Diaries.
-
A.
Sam Levy
Sam Levy is an American cinematographer best known for his frequent collaborations with director Noah Baumbach and his work on acclaimed independent films.
-
B.
Dave Trager
Dave Trager was a sports executive best known for owning the early NBA franchise that became the Chicago Packers.
-
C.
John Heyman
John Heyman was a British film and television producer and financier known for backing and producing a range of notable international films from the 1960s onward.
-
D.
Joe Weinstock
Joe Weinstock is a television producer best known for his executive production work on the science-themed docuseries "The End Is Nye."
-
E.
Bob Cmelik
Bob Cmelik is a computer engineer best known as one of the founders of the innovative microprocessor company Transmeta.
- 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_69c687ee50048190aa151765bef16193 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6afa2e4a48190ba3c70013bab14f2 |
completed | March 27, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cbeb04348190957b8e5f098b72bf |
completed | March 27, 2026, 6:26 p.m. |
| NEDg | Description generation | batch_69c6cd0a98908190a5725c49bad7589d |
completed | March 27, 2026, 6:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6cdcf14508190876faa73f5eec884 |
completed | March 27, 2026, 6:34 p.m. |
Created at: March 27, 2026, 1:59 p.m.