Triple
T8335382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annabelle |
E195774
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object |
James Kniest
James Kniest is a cinematographer known for his work on horror films, including the supernatural thriller "Annabelle."
|
E731149
|
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: James Kniest | Statement: [Annabelle, cinematographyBy, James Kniest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Kniest Context triple: [Annabelle, cinematographyBy, James Kniest]
-
A.
Paul Knabenshue
Paul Knabenshue was an American diplomat best known for serving as the first U.S. Ambassador to Iraq in the early 20th century.
-
B.
Jeremy Joe Kronsberg
Jeremy Joe Kronsberg is an American screenwriter and filmmaker best known for writing the Clint Eastwood comedy hit "Every Which Way but Loose."
-
C.
Michael Krueger
Michael Krueger is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Krueger.
-
D.
Kevin Riepl
Kevin Riepl is an American composer best known for his atmospheric scores for films and video games, including work on titles like Gears of War and various horror and sci-fi projects.
-
E.
Michael Schoeffling
Michael Schoeffling is an American former actor and model best known for his role as Jake Ryan in the 1984 film "Sixteen Candles."
- 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: James Kniest Triple: [Annabelle, cinematographyBy, James Kniest]
Generated description
James Kniest is a cinematographer known for his work on horror films, including the supernatural thriller "Annabelle."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: James Kniest Target entity description: James Kniest is a cinematographer known for his work on horror films, including the supernatural thriller "Annabelle."
-
A.
Paul Knabenshue
Paul Knabenshue was an American diplomat best known for serving as the first U.S. Ambassador to Iraq in the early 20th century.
-
B.
Jeremy Joe Kronsberg
Jeremy Joe Kronsberg is an American screenwriter and filmmaker best known for writing the Clint Eastwood comedy hit "Every Which Way but Loose."
-
C.
Michael Krueger
Michael Krueger is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Krueger.
-
D.
Kevin Riepl
Kevin Riepl is an American composer best known for his atmospheric scores for films and video games, including work on titles like Gears of War and various horror and sci-fi projects.
-
E.
Michael Schoeffling
Michael Schoeffling is an American former actor and model best known for his role as Jake Ryan in the 1984 film "Sixteen Candles."
- 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_69ca82ecbdc481908a55cad8ca062d88 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fd2ca648190991e398ba70caf8d |
completed | March 31, 2026, 8:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce028586788190b07c601e521eb531 |
completed | April 2, 2026, 5:45 a.m. |
| NEDg | Description generation | batch_69ce077d8af0819082a7ea67a2c11ddd |
completed | April 2, 2026, 6:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce082078108190867044f45bc0a806 |
completed | April 2, 2026, 6:09 a.m. |
Created at: March 30, 2026, 5:57 p.m.