Triple
T13839205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | You Got Served |
E332608
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object |
David Daniel
David Daniel is a cinematographer best known for his work on the dance film "You Got Served."
|
E1063807
|
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 Daniel | Statement: [You Got Served, cinematographyBy, David Daniel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Daniel Context triple: [You Got Served, cinematographyBy, David Daniel]
-
A.
David Brian
David Brian was an American film and television actor known for his roles in mid-20th-century Hollywood dramas and crime films.
-
B.
David Dawson
David Dawson is a British actor known for his work in television, film, and theatre, including a prominent role in the romantic drama film "My Policeman."
-
C.
Marc Daniels
Marc Daniels was an American television director best known for his work on the original Star Trek series and numerous classic TV shows of the 1950s–1970s.
-
D.
Matthew Dawson
Matthew Dawson was a prominent 19th-century British racehorse trainer renowned for preparing multiple classic-winning Thoroughbreds.
-
E.
David James Elliott
David James Elliott is a Canadian actor best known for his leading role as Navy lawyer Harmon Rabb Jr. on the television series JAG.
- 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 Daniel Triple: [You Got Served, cinematographyBy, David Daniel]
Generated description
David Daniel is a cinematographer best known for his work on the dance film "You Got Served."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: David Daniel Target entity description: David Daniel is a cinematographer best known for his work on the dance film "You Got Served."
-
A.
David Brian
David Brian was an American film and television actor known for his roles in mid-20th-century Hollywood dramas and crime films.
-
B.
David Dawson
David Dawson is a British actor known for his work in television, film, and theatre, including a prominent role in the romantic drama film "My Policeman."
-
C.
Marc Daniels
Marc Daniels was an American television director best known for his work on the original Star Trek series and numerous classic TV shows of the 1950s–1970s.
-
D.
Matthew Dawson
Matthew Dawson was a prominent 19th-century British racehorse trainer renowned for preparing multiple classic-winning Thoroughbreds.
-
E.
David James Elliott
David James Elliott is a Canadian actor best known for his leading role as Navy lawyer Harmon Rabb Jr. on the television series JAG.
- 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02ac6b7c81908d44632d6d628339 |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8f630d081909439e1cdc5d60430 |
completed | May 3, 2026, 9:07 p.m. |
| NEDg | Description generation | batch_69f7bb3bb7288190b981a9439304124d |
completed | May 3, 2026, 9:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7bbac5a148190990ac56759e527cd |
completed | May 3, 2026, 9:18 p.m. |
Created at: April 9, 2026, 10:13 p.m.