Triple
T18167571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gerald du Maurier |
E434932
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Muriel Beaumont |
—
|
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: Muriel Beaumont | Statement: [Gerald du Maurier, spouse, Muriel Beaumont]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muriel Beaumont Context triple: [Gerald du Maurier, spouse, Muriel Beaumont]
-
A.
Muriel Beaumont
chosen
Muriel Beaumont was a British actress and the mother of novelist Daphne du Maurier.
-
B.
Muriel Brown
Muriel Brown is a fictional character in the French film "Two English Girls," which explores a complex romantic relationship between two English sisters and a Frenchman in the early 20th century.
-
C.
Muriel Hewitt
Muriel Hewitt was the wife of renowned British actor Ralph Richardson, known primarily for her marriage to the celebrated stage and film performer.
-
D.
Muriel Lang
Muriel Lang is a fictional character who serves as the central figure in the film "It Could Happen to You."
-
E.
Muriel Stubbs
Muriel Stubbs is a central character on the animated television series "The PJs," known as the strong-willed, sharp-tongued wife of main character Thurgood Stubbs.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8b90b7a188190b3fc7b8d4a6cd20a |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4df52f8b08190ab2c4d76b510cd28 |
completed | April 19, 2026, 1:57 p.m. |
Created at: April 10, 2026, 10:30 a.m.