Triple
T22541309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Accidental Husband |
E557294
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
Bonnie Sikowitz
Bonnie Sikowitz is a screenwriter best known for her work on the romantic comedy film "The Accidental Husband."
|
E1567835
|
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: Bonnie Sikowitz | Statement: [The Accidental Husband, writer, Bonnie Sikowitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bonnie Sikowitz Context triple: [The Accidental Husband, writer, Bonnie Sikowitz]
-
A.
Bonnie Bernstein
Bonnie Bernstein is an American sports journalist and television personality known for her sideline reporting and coverage of major events across networks like ESPN and CBS.
-
B.
Bonnie Perlman
Bonnie Perlman is an actress known for appearing in the television series "Obsessed."
-
C.
Bonnie Linder
Bonnie Linder was the wife of American singing cowboy and actor Rex Allen.
-
D.
Betsy Sodaro
Betsy Sodaro is an American comedian and character actress known for her high-energy performances in television comedies and improv.
-
E.
Bonnie Sherr Klein
Bonnie Sherr Klein is a Canadian filmmaker, writer, and disability rights activist known for her influential documentaries and advocacy work.
- 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: Bonnie Sikowitz Triple: [The Accidental Husband, writer, Bonnie Sikowitz]
Generated description
Bonnie Sikowitz is a screenwriter best known for her work on the romantic comedy film "The Accidental Husband."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bonnie Sikowitz Target entity description: Bonnie Sikowitz is a screenwriter best known for her work on the romantic comedy film "The Accidental Husband."
-
A.
Bonnie Bernstein
Bonnie Bernstein is an American sports journalist and television personality known for her sideline reporting and coverage of major events across networks like ESPN and CBS.
-
B.
Bonnie Perlman
Bonnie Perlman is an actress known for appearing in the television series "Obsessed."
-
C.
Bonnie Linder
Bonnie Linder was the wife of American singing cowboy and actor Rex Allen.
-
D.
Betsy Sodaro
Betsy Sodaro is an American comedian and character actress known for her high-energy performances in television comedies and improv.
-
E.
Bonnie Sherr Klein
Bonnie Sherr Klein is a Canadian filmmaker, writer, and disability rights activist known for her influential documentaries and advocacy work.
- 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_69e11e58662081909ae346ab384514ca |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f3251808190a72b849157854d8d |
completed | April 29, 2026, 1:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c0abd066081909ce2709cd85a1551 |
completed | May 19, 2026, 7:01 a.m. |
| NEDg | Description generation | batch_6a0c0b70986c81909e1db90201b55f9d |
completed | May 19, 2026, 7:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c0c368c1c81909075c3d9802cfa2f |
completed | May 19, 2026, 7:07 a.m. |
Created at: April 16, 2026, 8:51 p.m.