Triple
T5531746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Made in Dagenham |
E145064
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object |
Michael Parker
Michael Parker is a film editor best known for his work on the British comedy-drama "Made in Dagenham."
|
E535835
|
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: Michael Parker | Statement: [Made in Dagenham, editor, Michael Parker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Parker Context triple: [Made in Dagenham, editor, Michael Parker]
-
A.
James Parker
James Parker was a British Labour politician and trade unionist active in the early 20th century.
-
B.
Michael Parkhurst
Michael Parkhurst is an American former professional soccer defender best known for his standout MLS career and leadership roles with clubs like New England Revolution, Columbus Crew SC, and Atlanta United FC, as well as appearances for the U.S. national team.
-
C.
Michael Potts
Michael Potts is an American actor known for his work in film, television, and theater, including notable roles in projects like "The Wire," "True Detective," and various Broadway productions.
-
D.
Christian Ross
Christian Ross was the wife of Scottish poet Allan Ramsay, known primarily through her connection to the influential 18th-century literary figure.
-
E.
Michael Barrett
Michael Barrett is an American cinematographer known for his work on numerous feature films and television projects, including mainstream comedies and action movies.
- 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: Michael Parker Triple: [Made in Dagenham, editor, Michael Parker]
Generated description
Michael Parker is a film editor best known for his work on the British comedy-drama "Made in Dagenham."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Parker Target entity description: Michael Parker is a film editor best known for his work on the British comedy-drama "Made in Dagenham."
-
A.
James Parker
James Parker was a British Labour politician and trade unionist active in the early 20th century.
-
B.
Michael Parkhurst
Michael Parkhurst is an American former professional soccer defender best known for his standout MLS career and leadership roles with clubs like New England Revolution, Columbus Crew SC, and Atlanta United FC, as well as appearances for the U.S. national team.
-
C.
Michael Potts
Michael Potts is an American actor known for his work in film, television, and theater, including notable roles in projects like "The Wire," "True Detective," and various Broadway productions.
-
D.
Christian Ross
Christian Ross was the wife of Scottish poet Allan Ramsay, known primarily through her connection to the influential 18th-century literary figure.
-
E.
Michael Barrett
Michael Barrett is an American cinematographer known for his work on numerous feature films and television projects, including mainstream comedies and action movies.
- 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_69c008f9955881909bfa8348b56b4739 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f9d17ec8190b93b12931a4c1b33 |
completed | March 22, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04cdccb70819081bfe0e4a56f253f |
completed | March 22, 2026, 8:11 p.m. |
| NEDg | Description generation | batch_69c04e8422dc8190879ee52bd6850565 |
completed | March 22, 2026, 8:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c04f3963888190b1c85b3bb9ff5d44 |
completed | March 22, 2026, 8:21 p.m. |
Created at: March 22, 2026, 3:34 p.m.