Triple
T12436642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Defiance |
E297159
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Mark Feuerstein
Mark Feuerstein is an American actor best known for his lead role as Dr. Hank Lawson on the television series "Royal Pains."
|
E1012703
|
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 Feuerstein | Statement: [Defiance, starring, Mark Feuerstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Feuerstein Context triple: [Defiance, starring, Mark Feuerstein]
-
A.
Steven Fierberg
Steven Fierberg is an American cinematographer known for his work on feature films and television series, including the romantic drama "Love & Other Drugs."
-
B.
Stephen Endlicher
Stephen Endlicher was a 19th-century Austrian botanist and linguist known for his influential work in plant taxonomy and classification.
-
C.
Robert Weinbach
Robert Weinbach is a film producer known for his work on independent genre movies, including the 2012 horror film "Shiver."
-
D.
Daniel Goldberg
Daniel Goldberg is a Canadian film producer best known for his long-running collaboration with Ivan Reitman on comedies such as "Meatballs," "Stripes," and "Old School."
-
E.
Marc Zamarin
Marc Zamarin is a sports executive best known for serving as the general manager of the Philadelphia Wings professional lacrosse team.
- 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 Feuerstein Triple: [Defiance, starring, Mark Feuerstein]
Generated description
Mark Feuerstein is an American actor best known for his lead role as Dr. Hank Lawson on the television series "Royal Pains."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mark Feuerstein Target entity description: Mark Feuerstein is an American actor best known for his lead role as Dr. Hank Lawson on the television series "Royal Pains."
-
A.
Steven Fierberg
Steven Fierberg is an American cinematographer known for his work on feature films and television series, including the romantic drama "Love & Other Drugs."
-
B.
Stephen Endlicher
Stephen Endlicher was a 19th-century Austrian botanist and linguist known for his influential work in plant taxonomy and classification.
-
C.
Robert Weinbach
Robert Weinbach is a film producer known for his work on independent genre movies, including the 2012 horror film "Shiver."
-
D.
Daniel Goldberg
Daniel Goldberg is a Canadian film producer best known for his long-running collaboration with Ivan Reitman on comedies such as "Meatballs," "Stripes," and "Old School."
-
E.
Marc Zamarin
Marc Zamarin is a sports executive best known for serving as the general manager of the Philadelphia Wings professional lacrosse team.
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d8c8fd481909b35ac504127a1b6 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8bc820c8190b6e54a381621fdc8 |
completed | May 3, 2026, 2:53 a.m. |
| NEDg | Description generation | batch_69f6b9dac2c88190850304023f156969 |
completed | May 3, 2026, 2:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6bb2602848190b9588134c71d0ef4 |
completed | May 3, 2026, 3:04 a.m. |
Created at: April 8, 2026, 9:55 p.m.