Triple
T5142484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fright Night (1985 film) |
E115990
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object |
Jan Kiesser
Jan Kiesser is a Canadian cinematographer known for his work on genre films and television, including the 1985 horror film "Fright Night."
|
E505572
|
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: Jan Kiesser | Statement: [Fright Night (1985 film), cinematographyBy, Jan Kiesser]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jan Kiesser Context triple: [Fright Night (1985 film), cinematographyBy, Jan Kiesser]
-
A.
Jens Schlosser
Jens Schlosser is a cinematographer known for his work on the film "The Salvation."
-
B.
Martin Fischer
Martin Fischer is a personal name shared by multiple individuals across various professions, such as sports, science, and the arts.
-
C.
Erik Heinrichs
Erik Heinrichs was a Finnish general and senior military leader who played a key role in directing Finland’s armed forces during World War II.
-
D.
Daniel Knauf
Daniel Knauf is an American television writer and producer best known for creating the HBO series "Carnivàle."
-
E.
Christian Meyer
Christian Meyer is the husband of American author Stephenie Meyer, best known for her Twilight series.
- 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: Jan Kiesser Triple: [Fright Night (1985 film), cinematographyBy, Jan Kiesser]
Generated description
Jan Kiesser is a Canadian cinematographer known for his work on genre films and television, including the 1985 horror film "Fright Night."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jan Kiesser Target entity description: Jan Kiesser is a Canadian cinematographer known for his work on genre films and television, including the 1985 horror film "Fright Night."
-
A.
Jens Schlosser
Jens Schlosser is a cinematographer known for his work on the film "The Salvation."
-
B.
Martin Fischer
Martin Fischer is a personal name shared by multiple individuals across various professions, such as sports, science, and the arts.
-
C.
Erik Heinrichs
Erik Heinrichs was a Finnish general and senior military leader who played a key role in directing Finland’s armed forces during World War II.
-
D.
Daniel Knauf
Daniel Knauf is an American television writer and producer best known for creating the HBO series "Carnivàle."
-
E.
Christian Meyer
Christian Meyer is the husband of American author Stephenie Meyer, best known for her Twilight series.
- 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_69bd4446c0e08190a7c29dc74976bf03 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd787ff1c081909a6954aa76e12cbf |
completed | March 20, 2026, 4:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bef7f117ac8190a03379437484627b |
completed | March 21, 2026, 7:56 p.m. |
| NEDg | Description generation | batch_69bef933c4008190bea3a5a7e5de17e6 |
completed | March 21, 2026, 8:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bef9a600908190bdaff60b7a514538 |
completed | March 21, 2026, 8:03 p.m. |
Created at: March 20, 2026, 1:43 p.m.