Triple
T9901526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruth Rogers |
E182292
|
entity |
| Predicate | businessPartner |
P282
|
FINISHED |
| Object | Rose Gray |
E847109
|
NE FINISHED |
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: Rose Gray | Statement: [Ruth Rogers, businessPartner, Rose Gray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rose Gray Context triple: [Ruth Rogers, businessPartner, Rose Gray]
-
A.
Rose Gray
chosen
Rose Gray was a renowned British chef and restaurateur, best known as co-founder of London's River Café and for her influential modern Italian cookbooks.
-
B.
Sally Gray
Sally Gray was a British film actress best known for her roles in 1930s and 1940s cinema, particularly in thrillers and comedies.
-
C.
Rose Nylund
Rose Nylund is a sweet, naive, and hilariously literal-minded Midwestern woman portrayed by Betty White on the classic sitcom "The Golden Girls."
-
D.
Mel Gray
Mel Gray is a former American football wide receiver and return specialist best known for his explosive speed and big-play ability in the 1970s and 1980s.
-
E.
Rosemary Hoyt
Rosemary Hoyt is a young American film actress in F. Scott Fitzgerald's novel "Tender Is the Night," whose infatuation with Dick Diver catalyzes much of the story’s romantic and psychological tension.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca82876f8081909cf75df0f99bb13f |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb4e221448190b536742d1269f9d7 |
completed | April 2, 2026, 12:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d354c521dc819084b09c9a57c1a26c |
completed | April 6, 2026, 6:37 a.m. |
Created at: March 30, 2026, 8:40 p.m.