Triple
T20297245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santa Claus: The Movie |
E505381
|
entity |
| Predicate | starredActor |
P5563
|
FINISHED |
| Object |
Jeffrey Kramer
Jeffrey Kramer is an American actor best known for his supporting roles in films and television series from the 1970s and 1980s, including the "Jaws" franchise.
|
E1462823
|
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: Jeffrey Kramer | Statement: [Santa Claus: The Movie, starredActor, Jeffrey Kramer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeffrey Kramer Context triple: [Santa Claus: The Movie, starredActor, Jeffrey Kramer]
-
A.
Michael Jaffe
Michael Jaffe is an American television and film producer known for his work on numerous TV movies, series, and feature films.
-
B.
Josh Kesselman
Josh Kesselman is a film and television producer best known for his work as an executive producer on projects such as the series "The Great."
-
C.
Jon Ehrlich
Jon Ehrlich is an American television and film composer known for his work on series such as House, Parenthood, and Invasion.
-
D.
Chris Kramer
Chris Kramer is an American professional basketball player known for his impactful play as a guard in European leagues, particularly in Germany.
-
E.
Jeffrey Winston
Jeffrey Winston is known as the former husband of American actress Debbi Morgan.
- 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: Jeffrey Kramer Triple: [Santa Claus: The Movie, starredActor, Jeffrey Kramer]
Generated description
Jeffrey Kramer is an American actor best known for his supporting roles in films and television series from the 1970s and 1980s, including the "Jaws" franchise.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jeffrey Kramer Target entity description: Jeffrey Kramer is an American actor best known for his supporting roles in films and television series from the 1970s and 1980s, including the "Jaws" franchise.
-
A.
Michael Jaffe
Michael Jaffe is an American television and film producer known for his work on numerous TV movies, series, and feature films.
-
B.
Josh Kesselman
Josh Kesselman is a film and television producer best known for his work as an executive producer on projects such as the series "The Great."
-
C.
Jon Ehrlich
Jon Ehrlich is an American television and film composer known for his work on series such as House, Parenthood, and Invasion.
-
D.
Chris Kramer
Chris Kramer is an American professional basketball player known for his impactful play as a guard in European leagues, particularly in Germany.
-
E.
Jeffrey Winston
Jeffrey Winston is known as the former husband of American actress Debbi Morgan.
- 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_69e0b4b8ab648190906e18538c250148 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e677095fb481909806214da4002b59 |
completed | April 20, 2026, 6:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a093b3c527c8190a7f3da5b71ca5e51 |
completed | May 17, 2026, 3:51 a.m. |
| NEDg | Description generation | batch_6a09410a09248190a1d96da0c04ce2a7 |
completed | May 17, 2026, 4:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09429e1c5c8190b0778b963f1446e6 |
completed | May 17, 2026, 4:22 a.m. |
Created at: April 16, 2026, 11:16 a.m.