Triple
T3641139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bruce Jay Friedman |
E77188
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Molly Friedman
Molly Friedman is the daughter of American novelist and screenwriter Bruce Jay Friedman.
|
E406916
|
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: Molly Friedman | Statement: [Bruce Jay Friedman, hasChild, Molly Friedman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Molly Friedman Context triple: [Bruce Jay Friedman, hasChild, Molly Friedman]
-
A.
Molly Punderson
Molly Punderson was the wife of American illustrator Norman Rockwell and a figure in his early personal life and career.
-
B.
Molly Jensen
Molly Jensen is a central character in the romantic fantasy film "Ghost," known as the grieving artist whose love transcends death.
-
C.
Melissa Rosenberg
Melissa Rosenberg is an American screenwriter and producer best known for adapting the Twilight Saga films and creating the Marvel television series Jessica Jones.
-
D.
Mandy Cohen
Mandy Cohen is an American physician and public health official who has served as Director of the U.S. Centers for Disease Control and Prevention (CDC).
-
E.
Katie Morosky
Katie Morosky is a politically passionate, idealistic Jewish woman whose complex romance with a more easygoing man forms the emotional core of the film "The Way We Were."
- 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: Molly Friedman Triple: [Bruce Jay Friedman, hasChild, Molly Friedman]
Generated description
Molly Friedman is the daughter of American novelist and screenwriter Bruce Jay Friedman.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Molly Friedman Target entity description: Molly Friedman is the daughter of American novelist and screenwriter Bruce Jay Friedman.
-
A.
Molly Punderson
Molly Punderson was the wife of American illustrator Norman Rockwell and a figure in his early personal life and career.
-
B.
Molly Jensen
Molly Jensen is a central character in the romantic fantasy film "Ghost," known as the grieving artist whose love transcends death.
-
C.
Melissa Rosenberg
Melissa Rosenberg is an American screenwriter and producer best known for adapting the Twilight Saga films and creating the Marvel television series Jessica Jones.
-
D.
Mandy Cohen
Mandy Cohen is an American physician and public health official who has served as Director of the U.S. Centers for Disease Control and Prevention (CDC).
-
E.
Katie Morosky
Katie Morosky is a politically passionate, idealistic Jewish woman whose complex romance with a more easygoing man forms the emotional core of the film "The Way We Were."
- 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_69ad85dd0be48190b738990cb20c4731 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc357c3308190bd8801d68244a53e |
completed | March 8, 2026, 6:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c256e0881909c6d481d373e814c |
completed | March 14, 2026, 11:53 a.m. |
| NEDg | Description generation | batch_69b54e0861e481909100ac83deb76d23 |
completed | March 14, 2026, 12:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b54e5913cc8190817cf7f997450ffc |
completed | March 14, 2026, 12:02 p.m. |
Created at: March 8, 2026, 3:24 p.m.