Triple
T4150416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Devil All the Time |
E89889
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Riva Marker
Riva Marker is an American film producer and co-founder of Nine Stories Productions, known for producing character-driven independent and prestige films.
|
E417694
|
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: Riva Marker | Statement: [The Devil All the Time, producer, Riva Marker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Riva Marker Context triple: [The Devil All the Time, producer, Riva Marker]
-
A.
Bulwark
Bulwark is a residential suburb located on the outskirts of the town of Chepstow in Monmouthshire, Wales.
-
B.
Bitton
Bitton is a village and civil parish in South Gloucestershire, England, situated between Bristol and Bath.
-
C.
Saleen
Saleen is an American high-performance sports car manufacturer best known for producing powerful, limited-production supercars and racing vehicles.
-
D.
Croce
Croce is the surname of Benedetto Croce, the influential Italian philosopher, historian, and critic associated with idealism and liberal thought.
-
E.
Crescent
Crescent is a long-distance Amtrak passenger train that runs between New York City and New Orleans, serving major cities along the U.S. East Coast and Deep South.
- 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: Riva Marker Triple: [The Devil All the Time, producer, Riva Marker]
Generated description
Riva Marker is an American film producer and co-founder of Nine Stories Productions, known for producing character-driven independent and prestige films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Riva Marker Target entity description: Riva Marker is an American film producer and co-founder of Nine Stories Productions, known for producing character-driven independent and prestige films.
-
A.
Bulwark
Bulwark is a residential suburb located on the outskirts of the town of Chepstow in Monmouthshire, Wales.
-
B.
Bitton
Bitton is a village and civil parish in South Gloucestershire, England, situated between Bristol and Bath.
-
C.
Saleen
Saleen is an American high-performance sports car manufacturer best known for producing powerful, limited-production supercars and racing vehicles.
-
D.
Croce
Croce is the surname of Benedetto Croce, the influential Italian philosopher, historian, and critic associated with idealism and liberal thought.
-
E.
Crescent
Crescent is a long-distance Amtrak passenger train that runs between New York City and New Orleans, serving major cities along the U.S. East Coast and Deep South.
- 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_69aed95a59a881909b26e70b42c6811a |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0274f440819087dd58a9ce45cce5 |
completed | March 9, 2026, 5:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f34c748819093d03ccddd3e1f75 |
completed | March 14, 2026, 3:31 p.m. |
| NEDg | Description generation | batch_69b57f9e42c88190b516bf8dca7b2efc |
completed | March 14, 2026, 3:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b58028e7108190a6c92fc9ea300f9e |
completed | March 14, 2026, 3:35 p.m. |
Created at: March 9, 2026, 3:43 p.m.