Triple
T22546906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Ropers |
E557451
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Martin Rips
Martin Rips is a television producer best known for his work on the sitcom "The Ropers."
|
E1541369
|
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: Martin Rips | Statement: [The Ropers, producer, Martin Rips]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martin Rips Context triple: [The Ropers, producer, Martin Rips]
-
A.
Martin Fischer
Martin Fischer is a personal name shared by multiple individuals across various professions, such as sports, science, and the arts.
-
B.
Michael Reinhardt
Michael Reinhardt is a personal name shared by multiple individuals, including professionals in fields such as music, academia, and business.
-
C.
Martin Weiss
Martin Weiss is a senior executive and key decision-maker at the German media conglomerate Hubert Burda Media.
-
D.
Leon Kochnitzky
Leon Kochnitzky was a Belgian intellectual and political activist known for his involvement with Gabriele D’Annunzio’s nationalist Fiume enterprise after World War I.
-
E.
Michael Tuchner
Michael Tuchner was a British film and television director known for his work on crime dramas and character-driven stories in the 1960s and 1970s.
- 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: Martin Rips Triple: [The Ropers, producer, Martin Rips]
Generated description
Martin Rips is a television producer best known for his work on the sitcom "The Ropers."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Martin Rips Target entity description: Martin Rips is a television producer best known for his work on the sitcom "The Ropers."
-
A.
Martin Fischer
Martin Fischer is a personal name shared by multiple individuals across various professions, such as sports, science, and the arts.
-
B.
Michael Reinhardt
Michael Reinhardt is a personal name shared by multiple individuals, including professionals in fields such as music, academia, and business.
-
C.
Martin Weiss
Martin Weiss is a senior executive and key decision-maker at the German media conglomerate Hubert Burda Media.
-
D.
Leon Kochnitzky
Leon Kochnitzky was a Belgian intellectual and political activist known for his involvement with Gabriele D’Annunzio’s nationalist Fiume enterprise after World War I.
-
E.
Michael Tuchner
Michael Tuchner was a British film and television director known for his work on crime dramas and character-driven stories in the 1960s and 1970s.
- 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_69e11e58662081909ae346ab384514ca |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f366f208190abbc6eb4780b2d48 |
completed | April 29, 2026, 1:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b1deccca48190aba8c7913a769101 |
completed | May 18, 2026, 2:10 p.m. |
| NEDg | Description generation | batch_6a0b1e9bb68481909945905b369247f0 |
completed | May 18, 2026, 2:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b1efb36ac8190a4a9c3005ee58d23 |
completed | May 18, 2026, 2:15 p.m. |
Created at: April 16, 2026, 8:52 p.m.