Triple
T4422900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Court Jester |
E95142
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Patricia P. Frank
Patricia P. Frank is a screenwriter known for her work on the classic comedy film "The Court Jester."
|
E437324
|
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: Patricia P. Frank | Statement: [The Court Jester, screenwriter, Patricia P. Frank]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Patricia P. Frank Context triple: [The Court Jester, screenwriter, Patricia P. Frank]
-
A.
Carol Seaver
Carol Seaver is the intelligent, ambitious, and sometimes neurotic teenage daughter in the family sitcom "Growing Pains."
-
B.
Freada Kapor Klein
Freada Kapor Klein is an American entrepreneur, activist, and philanthropist known for her work advancing diversity, equity, and inclusion in the tech industry and co-founding the Kapor Center.
-
C.
Lenore Kipp
Lenore Kipp was the wife of American actor Joseph Cotten, known primarily for her long marriage to the classic Hollywood star.
-
D.
Kaye Haldeman
Kaye Haldeman is a member of the Haldeman family, known primarily as a child of chiropractor and political activist Joshua Haldeman and a relative of entrepreneur Elon Musk.
-
E.
Pamela Frank
Pamela Frank is an acclaimed American violinist renowned for her expressive performances and influential teaching career.
- 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: Patricia P. Frank Triple: [The Court Jester, screenwriter, Patricia P. Frank]
Generated description
Patricia P. Frank is a screenwriter known for her work on the classic comedy film "The Court Jester."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Patricia P. Frank Target entity description: Patricia P. Frank is a screenwriter known for her work on the classic comedy film "The Court Jester."
-
A.
Carol Seaver
Carol Seaver is the intelligent, ambitious, and sometimes neurotic teenage daughter in the family sitcom "Growing Pains."
-
B.
Freada Kapor Klein
Freada Kapor Klein is an American entrepreneur, activist, and philanthropist known for her work advancing diversity, equity, and inclusion in the tech industry and co-founding the Kapor Center.
-
C.
Lenore Kipp
Lenore Kipp was the wife of American actor Joseph Cotten, known primarily for her long marriage to the classic Hollywood star.
-
D.
Kaye Haldeman
Kaye Haldeman is a member of the Haldeman family, known primarily as a child of chiropractor and political activist Joshua Haldeman and a relative of entrepreneur Elon Musk.
-
E.
Pamela Frank
Pamela Frank is an acclaimed American violinist renowned for her expressive performances and influential teaching career.
- 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_69b3453a36908190b95a79a297ca083c |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3554b36a48190a475ac5474bed132 |
completed | March 13, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f62bbee48190bae8fc7b9cc29086 |
completed | March 14, 2026, 11:58 p.m. |
| NEDg | Description generation | batch_69b5f6b132a88190950cde007375965a |
completed | March 15, 2026, midnight |
| NED2 | Entity disambiguation (via description) | batch_69b5f7794d7081909eb494c2119eaee7 |
completed | March 15, 2026, 12:04 a.m. |
Created at: March 12, 2026, 11:30 p.m.