Triple
T17876586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kate Read |
E446968
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Cousin Monique |
—
|
NE NERFINISHED |
How this triple was built (2 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: Cousin Monique | Statement: [Kate Read, relative, Cousin Monique]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cousin Monique Context triple: [Kate Read, relative, Cousin Monique]
-
A.
Monique
Monique is the given name of the American comedian and Academy Award–winning actress Mo'Nique.
-
B.
Monika
Monika is a feminine given name commonly used in various European countries and beyond.
-
C.
Miss Quentin
Miss Quentin is a rebellious and troubled young woman in William Faulkner’s novel "The Sound and the Fury," whose defiance highlights the decay and dysfunction of the Compson family.
-
D.
Mama Nadine
Mama Nadine is a central character in the film "I Love You to Death," known for her strong-willed, protective, and often darkly comedic presence within the story.
-
E.
Marnie
Marnie is a 1964 psychological thriller film directed by Alfred Hitchcock, starring Tippi Hedren and Sean Connery, about a troubled woman with a mysterious past and compulsive thieving.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
Provenance (2 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_69d8b9f4c22c819093c2680434472894 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49aa614b48190bdc9e905e9e6d5e0 |
completed | April 19, 2026, 9:04 a.m. |
Created at: April 10, 2026, 10:18 a.m.