Triple
T21740309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ken Howard |
E536638
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Louise Sorel |
—
|
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: Louise Sorel | Statement: [Ken Howard, spouse, Louise Sorel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Louise Sorel Context triple: [Ken Howard, spouse, Louise Sorel]
-
A.
Louise Sorel
chosen
Louise Sorel is an American actress best known for her prolific television work, particularly her long-running role as the scheming Vivian Alamain on the soap opera "Days of Our Lives."
-
B.
Louise Pignon
Louise Pignon is a fictional character from the 1973 French comedy film "L'Emmerdeur," which centers on the chaotic entanglements between a hitman and a suicidal salesman.
-
C.
Gisèle Préville
Gisèle Préville was a French actress known for her roles in mid-20th-century French cinema.
-
D.
Lydie Sarazin-Levassor
Lydie Sarazin-Levassor was a French woman from a prominent industrial family who became known primarily as the first wife of avant-garde artist Marcel Duchamp.
-
E.
Anne Consigny
Anne Consigny is a French actress known for her acclaimed film and television roles, including César-nominated performances.
- 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_69e0c46df5448190b4322127ffc4c690 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01a714c208190b96efe23ed3bf0db |
completed | April 28, 2026, 2:24 a.m. |
Created at: April 16, 2026, 6:49 p.m.