Triple
T16334095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martin Ritt |
E396631
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Ritt
Ritt is a surname most notably associated with Martin Ritt, an American director and actor known for his socially conscious films.
|
E1207178
|
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: Ritt | Statement: [Martin Ritt, familyName, Ritt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ritt Context triple: [Martin Ritt, familyName, Ritt]
-
A.
Ritto
Ritto is a city in Shiga Prefecture, Japan, known for its location along major transportation routes between Kyoto and Nagoya.
-
B.
Ritsem
Ritsem is a remote settlement in northern Sweden that serves as a key gateway for hikers and trekkers heading into the surrounding mountain areas, including Sarek National Park.
-
C.
Rider
Rider is the abbreviated name commonly used for the Rider Broncs athletic teams representing Rider University in collegiate sports.
-
D.
Rider
Rider is a British publishing imprint known for releasing works on spirituality, personal development, and thought-provoking non-fiction.
-
E.
Rider
Rider is a cross-platform integrated development environment by JetBrains, widely used for .NET and C# development.
- 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: Ritt Triple: [Martin Ritt, familyName, Ritt]
Generated description
Ritt is a surname most notably associated with Martin Ritt, an American director and actor known for his socially conscious films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ritt Target entity description: Ritt is a surname most notably associated with Martin Ritt, an American director and actor known for his socially conscious films.
-
A.
Ritto
Ritto is a city in Shiga Prefecture, Japan, known for its location along major transportation routes between Kyoto and Nagoya.
-
B.
Ritsem
Ritsem is a remote settlement in northern Sweden that serves as a key gateway for hikers and trekkers heading into the surrounding mountain areas, including Sarek National Park.
-
C.
Rider
Rider is a British publishing imprint known for releasing works on spirituality, personal development, and thought-provoking non-fiction.
-
D.
Rider
Rider is the abbreviated name commonly used for the Rider Broncs athletic teams representing Rider University in collegiate sports.
-
E.
Rider
Rider is a cross-platform integrated development environment by JetBrains, widely used for .NET and C# development.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2c4e1da1081909bec6e77e6109dce |
completed | April 17, 2026, 11:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0026173dc081909e00f6647d1f68b3 |
completed | May 10, 2026, 6:30 a.m. |
| NEDg | Description generation | batch_6a00286f9e4c8190b01e75d2bfe3083a |
completed | May 10, 2026, 6:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0028e71de88190b48e33f2116e78dc |
completed | May 10, 2026, 6:42 a.m. |
Created at: April 10, 2026, 5:07 a.m.