Triple
T16379001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atria Books |
E397750
|
entity |
| Predicate | publishesAuthor |
P59456
|
FINISHED |
| Object |
M. J. Rose
M. J. Rose is an American author best known for her suspenseful psychological thrillers and novels that often blend mystery, history, and the supernatural.
|
E1211044
|
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: M. J. Rose | Statement: [Atria Books, publishesAuthor, M. J. Rose]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: M. J. Rose Context triple: [Atria Books, publishesAuthor, M. J. Rose]
-
A.
Roberta Seidman
Roberta Seidman was the wife of American actor John Garfield, a prominent film star of the 1930s and 1940s.
-
B.
Roberta Seidman
Roberta Seidman is known as the spouse of Julius Garfinkle.
-
C.
Ellen Mirojnick
Ellen Mirojnick is an American costume designer known for her influential work on films such as "Basic Instinct" and numerous other high-profile productions.
-
D.
Diane Nabatoff
Diane Nabatoff is a film and television producer known for her work on crime dramas and character-driven stories.
-
E.
Renee Luskin
Renee Luskin is a philanthropist and benefactor whose support and contributions led to the naming of UCLA’s Luskin School of Public Affairs in her honor.
- 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: M. J. Rose Triple: [Atria Books, publishesAuthor, M. J. Rose]
Generated description
M. J. Rose is an American author best known for her suspenseful psychological thrillers and novels that often blend mystery, history, and the supernatural.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: M. J. Rose Target entity description: M. J. Rose is an American author best known for her suspenseful psychological thrillers and novels that often blend mystery, history, and the supernatural.
-
A.
Roberta Seidman
Roberta Seidman was the wife of American actor John Garfield, a prominent film star of the 1930s and 1940s.
-
B.
Roberta Seidman
Roberta Seidman is known as the spouse of Julius Garfinkle.
-
C.
Ellen Mirojnick
Ellen Mirojnick is an American costume designer known for her influential work on films such as "Basic Instinct" and numerous other high-profile productions.
-
D.
Diane Nabatoff
Diane Nabatoff is a film and television producer known for her work on crime dramas and character-driven stories.
-
E.
Renee Luskin
Renee Luskin is a philanthropist and benefactor whose support and contributions led to the naming of UCLA’s Luskin School of Public Affairs in her honor.
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e319da3c6c8190a9ccf744996c31e8 |
completed | April 18, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00356658e881908131a3c60ed5499d |
completed | May 10, 2026, 7:36 a.m. |
| NEDg | Description generation | batch_6a00383a7180819092ea605aa8ef1672 |
completed | May 10, 2026, 7:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00391645ac819092a06dc6813604fa |
completed | May 10, 2026, 7:51 a.m. |
Created at: April 10, 2026, 5:08 a.m.