Triple
T12916805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Karate Kid Part III |
E309006
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object |
Steve Yaconelli
Steve Yaconelli is a cinematographer best known for his work on the film "The Karate Kid Part III."
|
E1008942
|
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: Steve Yaconelli | Statement: [The Karate Kid Part III, cinematographyBy, Steve Yaconelli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steve Yaconelli Context triple: [The Karate Kid Part III, cinematographyBy, Steve Yaconelli]
-
A.
Scott Yagemann
Scott Yagemann is a screenwriter best known for writing the gritty 1997 crime drama film "One Eight Seven," starring Samuel L. Jackson.
-
B.
Steve Yockey
Steve Yockey is an American television writer and producer best known for creating and showrunning the darkly comedic thriller series "The Flight Attendant."
-
C.
Kevin Yagher
Kevin Yagher is an American special effects and makeup artist and director best known for his work on horror and fantasy films and for creating iconic genre characters.
-
D.
Brian Yale
Brian Yale is the bassist for the American rock band Matchbox Twenty.
-
E.
Ron Yerxa
Ron Yerxa is an American film producer known for his work on acclaimed independent and studio films such as "Little Miss Sunshine," "Election," and "Cold Mountain."
- 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: Steve Yaconelli Triple: [The Karate Kid Part III, cinematographyBy, Steve Yaconelli]
Generated description
Steve Yaconelli is a cinematographer best known for his work on the film "The Karate Kid Part III."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Steve Yaconelli Target entity description: Steve Yaconelli is a cinematographer best known for his work on the film "The Karate Kid Part III."
-
A.
Scott Yagemann
Scott Yagemann is a screenwriter best known for writing the gritty 1997 crime drama film "One Eight Seven," starring Samuel L. Jackson.
-
B.
Steve Yockey
Steve Yockey is an American television writer and producer best known for creating and showrunning the darkly comedic thriller series "The Flight Attendant."
-
C.
Kevin Yagher
Kevin Yagher is an American special effects and makeup artist and director best known for his work on horror and fantasy films and for creating iconic genre characters.
-
D.
Brian Yale
Brian Yale is the bassist for the American rock band Matchbox Twenty.
-
E.
Ron Yerxa
Ron Yerxa is an American film producer known for his work on acclaimed independent and studio films such as "Little Miss Sunshine," "Election," and "Cold Mountain."
- 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971a1e8088190af697629baecf59f |
completed | April 10, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a571a3e48190a32d362adc6eaee2 |
completed | May 3, 2026, 1:31 a.m. |
| NEDg | Description generation | batch_69f6a66cd21081909283d70e0f5d06cb |
completed | May 3, 2026, 1:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6a77ba20081908f72f46f64382fca |
completed | May 3, 2026, 1:40 a.m. |
Created at: April 9, 2026, 5:41 p.m.