Triple
T10605066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Connor Roy |
E275850
|
entity |
| Predicate | hasRomanticPartner |
P9994
|
FINISHED |
| Object | Willa Ferreyra |
E874116
|
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: Willa Ferreyra | Statement: [Connor Roy, hasRomanticPartner, Willa Ferreyra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Willa Ferreyra Context triple: [Connor Roy, hasRomanticPartner, Willa Ferreyra]
-
A.
Willa Ferreyra
chosen
Willa Ferreyra is a character from the television series "Succession," known as a former escort who becomes romantically involved with and later marries Connor Roy.
-
B.
Giovanna Ferrer
Giovanna Ferrer is the wife of Sean Hepburn Ferrer, the son of actress Audrey Hepburn and actor Mel Ferrer.
-
C.
Isabel Sarli
Isabel Sarli was an iconic Argentine actress and sex symbol best known for her starring roles in erotic films of the 1950s–1970s directed by Armando Bó.
-
D.
Everly Carganilla
Everly Carganilla is a young American child actress known for roles in film and television, including the Netflix series "The Chair."
-
E.
Yvett Merino
Yvett Merino is an American film producer best known for her work at Walt Disney Animation Studios, including producing the Academy Award–winning animated film "Encanto."
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df4a5df88190b993196ca7849a88 |
completed | April 8, 2026, 11:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96b698f308190be8ee1e6bc8481d3 |
completed | April 10, 2026, 9:28 p.m. |
Created at: April 8, 2026, 7:32 p.m.