Triple
T20386269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Good Mother |
E497963
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Michael Bortman
Michael Bortman is an American screenwriter known for his work on films such as "The Good Mother."
|
E1465296
|
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 Bortman | Statement: [The Good Mother, screenwriter, Michael Bortman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Bortman Context triple: [The Good Mother, screenwriter, Michael Bortman]
-
A.
Michael Jaffe
Michael Jaffe is an American television and film producer known for his work on numerous TV movies, series, and feature films.
-
B.
Michael Blum
Michael Blum is best known as the husband of comedian and actress Julia Sweeney.
-
C.
Garth Drabinsky
Garth Drabinsky is a Canadian theatrical producer and former film executive best known for staging large-scale Broadway and international productions, including the musical "Ragtime."
-
D.
Michael Tuchner
Michael Tuchner was a British film and television director known for his work on crime dramas and character-driven stories in the 1960s and 1970s.
-
E.
Michael Filerman
Michael Filerman was an American television producer best known for developing and producing popular prime-time soap operas during the 1970s and 1980s.
- 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 Bortman Triple: [The Good Mother, screenwriter, Michael Bortman]
Generated description
Michael Bortman is an American screenwriter known for his work on films such as "The Good Mother."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Bortman Target entity description: Michael Bortman is an American screenwriter known for his work on films such as "The Good Mother."
-
A.
Michael Jaffe
Michael Jaffe is an American television and film producer known for his work on numerous TV movies, series, and feature films.
-
B.
Michael Blum
Michael Blum is best known as the husband of comedian and actress Julia Sweeney.
-
C.
Garth Drabinsky
Garth Drabinsky is a Canadian theatrical producer and former film executive best known for staging large-scale Broadway and international productions, including the musical "Ragtime."
-
D.
Michael Tuchner
Michael Tuchner was a British film and television director known for his work on crime dramas and character-driven stories in the 1960s and 1970s.
-
E.
Michael Filerman
Michael Filerman was an American television producer best known for developing and producing popular prime-time soap operas during the 1970s and 1980s.
- 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790bcef481909453d19c846ab420 |
completed | April 20, 2026, 7:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0950516dc48190b99e318f92a22e6e |
completed | May 17, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_6a09533e37b88190ab2f70c648bee969 |
completed | May 17, 2026, 5:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0953aafdf881909d4cc4f956c870b4 |
completed | May 17, 2026, 5:35 a.m. |
Created at: April 16, 2026, 11:28 a.m.