Triple
T10752082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nurse Betty |
E253594
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Joel Plotch
Joel Plotch is a film editor known for his work on movies such as the dark comedy "Nurse Betty."
|
E976814
|
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: Joel Plotch | Statement: [Nurse Betty, editedBy, Joel Plotch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joel Plotch Context triple: [Nurse Betty, editedBy, Joel Plotch]
-
A.
Joel Gallen
Joel Gallen is an American film and television producer and director best known for his work on high-profile comedy specials and live event broadcasts.
-
B.
Joel Graham
Joel Graham is a central character on the television series "Parenthood," portrayed as a devoted husband and father balancing family life with personal and professional challenges.
-
C.
Mark Holbrook
Mark Holbrook is a notable individual whose prominence has led to his recognition as a distinguished bearer of the Holbrook surname.
-
D.
Joel Parker
Joel Parker is a name shared by several notable individuals, including historical American politicians and jurists.
-
E.
Matt Wolpert
Matt Wolpert is a television writer and producer best known for co-creating the alternate-history space drama series "For All Mankind."
- 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: Joel Plotch Triple: [Nurse Betty, editedBy, Joel Plotch]
Generated description
Joel Plotch is a film editor known for his work on movies such as the dark comedy "Nurse Betty."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joel Plotch Target entity description: Joel Plotch is a film editor known for his work on movies such as the dark comedy "Nurse Betty."
-
A.
Joel Gallen
Joel Gallen is an American film and television producer and director best known for his work on high-profile comedy specials and live event broadcasts.
-
B.
Joel Graham
Joel Graham is a central character on the television series "Parenthood," portrayed as a devoted husband and father balancing family life with personal and professional challenges.
-
C.
Mark Holbrook
Mark Holbrook is a notable individual whose prominence has led to his recognition as a distinguished bearer of the Holbrook surname.
-
D.
Joel Parker
Joel Parker is a name shared by several notable individuals, including historical American politicians and jurists.
-
E.
Matt Wolpert
Matt Wolpert is a television writer and producer best known for co-creating the alternate-history space drama series "For All Mankind."
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d71dc184d0819085f8bc4edb034377 |
completed | April 9, 2026, 3:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62a6efa448190a9d95c5bd68ff34b |
completed | May 2, 2026, 4:46 p.m. |
| NEDg | Description generation | batch_69f62be354a88190aaf5e8439b33120b |
completed | May 2, 2026, 4:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62c8194d881909db3d320a21f2052 |
completed | May 2, 2026, 4:55 p.m. |
Created at: April 8, 2026, 9:15 p.m.