Triple
T2188821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Grisham |
E49813
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
The Associate
The Associate is a legal thriller novel by John Grisham that follows a young law school graduate coerced into a high-stakes corporate espionage scheme.
|
E242331
|
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: The Associate | Statement: [John Grisham, notableWork, The Associate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Associate Context triple: [John Grisham, notableWork, The Associate]
-
A.
The Chief
The Chief is the nickname of Robert Parish, a Hall of Fame NBA center best known for his long, successful tenure with the Boston Celtics and his record for most games played in league history.
-
B.
The Whitaker
The Whitaker is a museum and art gallery in Rawtenstall, Lancashire, showcasing local history, contemporary exhibitions, and community events within a historic house and park setting.
-
C.
The Jake
The Jake is the popular nickname for Progressive Field, the Major League Baseball stadium in Cleveland, Ohio, home of the Cleveland Guardians.
-
D.
The Employer
The Employer is a thriller film featuring Paige Howard in a prominent role.
-
E.
Among People
Among People is an alternative title for the film "In the World."
- 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: The Associate Triple: [John Grisham, notableWork, The Associate]
Generated description
The Associate is a legal thriller novel by John Grisham that follows a young law school graduate coerced into a high-stakes corporate espionage scheme.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Associate Target entity description: The Associate is a legal thriller novel by John Grisham that follows a young law school graduate coerced into a high-stakes corporate espionage scheme.
-
A.
The Chief
The Chief is the nickname of Robert Parish, a Hall of Fame NBA center best known for his long, successful tenure with the Boston Celtics and his record for most games played in league history.
-
B.
The Whitaker
The Whitaker is a museum and art gallery in Rawtenstall, Lancashire, showcasing local history, contemporary exhibitions, and community events within a historic house and park setting.
-
C.
The Jake
The Jake is the popular nickname for Progressive Field, the Major League Baseball stadium in Cleveland, Ohio, home of the Cleveland Guardians.
-
D.
The Employer
The Employer is a thriller film featuring Paige Howard in a prominent role.
-
E.
Among People
Among People is an alternative title for the film "In the World."
- 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_69a88aaba3c48190b351cab9b26989ff |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbf373c608190b7716c137b3e9fe9 |
completed | March 7, 2026, 6:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5dada268819082ddc4acd58e19f3 |
completed | March 9, 2026, 5:42 a.m. |
| NEDg | Description generation | batch_69ae5e5fe37c8190bcf73200d32f5faa |
completed | March 9, 2026, 5:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae5ed1e3208190b46d5e8361c2a5f6 |
completed | March 9, 2026, 5:46 a.m. |
Created at: March 4, 2026, 7:46 p.m.