Triple
T8639998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chasing Amy |
E204620
|
entity |
| Predicate | cinematography |
P1953
|
FINISHED |
| Object |
David Klein
David Klein is an American cinematographer best known for his frequent collaborations with filmmaker Kevin Smith and his work on independent films and television series.
|
E772262
|
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: David Klein | Statement: [Chasing Amy, cinematography, David Klein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Klein Context triple: [Chasing Amy, cinematography, David Klein]
-
A.
Jonathan Klein
Jonathan Klein is a British businessman best known as the co-founder and longtime leader of the global stock photography and media company Getty Images.
-
B.
Michael Klein
Michael Klein is the father of Canadian author and activist Naomi Klein.
-
C.
Chris Klein
Chris Klein is a former American professional soccer player who later became a sports executive, notably serving as president of Major League Soccer’s LA Galaxy.
-
D.
Chris Klein
Chris Klein is an American actor best known for his breakout role as Oz in the teen comedy film series "American Pie."
-
E.
Jeremy Kleiner
Jeremy Kleiner is an American film producer known for his work on acclaimed films such as the civil rights drama "Selma."
- 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: David Klein Triple: [Chasing Amy, cinematography, David Klein]
Generated description
David Klein is an American cinematographer best known for his frequent collaborations with filmmaker Kevin Smith and his work on independent films and television series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: David Klein Target entity description: David Klein is an American cinematographer best known for his frequent collaborations with filmmaker Kevin Smith and his work on independent films and television series.
-
A.
Jonathan Klein
Jonathan Klein is a British businessman best known as the co-founder and longtime leader of the global stock photography and media company Getty Images.
-
B.
Michael Klein
Michael Klein is the father of Canadian author and activist Naomi Klein.
-
C.
Chris Klein
Chris Klein is a former American professional soccer player who later became a sports executive, notably serving as president of Major League Soccer’s LA Galaxy.
-
D.
Chris Klein
Chris Klein is an American actor best known for his breakout role as Oz in the teen comedy film series "American Pie."
-
E.
Jeremy Kleiner
Jeremy Kleiner is an American film producer known for his work on acclaimed films such as the civil rights drama "Selma."
- 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_69ca834ca1c88190a11ffb0200342fac |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc47650a14819094855aa8d062ebbc |
completed | March 31, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdb759f6c819085939e38e0281361 |
completed | April 3, 2026, 3:23 p.m. |
| NEDg | Description generation | batch_69cfdbeba3808190b3d11a45bce24c80 |
completed | April 3, 2026, 3:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfdc391e6081909b1f3ff823ce174d |
completed | April 3, 2026, 3:26 p.m. |
Created at: March 30, 2026, 6:28 p.m.