Triple
T13744571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corinne Foxx |
E330179
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Corinne Foxx |
E330179
|
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: Corinne Foxx | Statement: [Corinne Foxx, name, Corinne Foxx]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Corinne Foxx Context triple: [Corinne Foxx, name, Corinne Foxx]
-
A.
Corinne Foxx
chosen
Corinne Foxx is an American actress, model, and television producer best known as the daughter of actor Jamie Foxx and for co-hosting the game show "Beat Shazam."
-
B.
Shoshana Bean
Shoshana Bean is an American singer and Broadway performer known for her powerful vocals and roles in shows like Wicked and Waitress.
-
C.
Justine Lupe
Justine Lupe is an American actress known for her roles in television series such as Mr. Mercedes and Succession.
-
D.
Bérénice Marlohe
Bérénice Marlohe is a French actress best known internationally for her role as Sévérine in the James Bond film "Skyfall."
-
E.
Ludivine Sagnier
Ludivine Sagnier is a French actress known for her versatile performances in both art-house and mainstream films, as well as in international television series.
- 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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0211ba5481909fbd5b447e3d5a02 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a8501890819081152bc2e9c06836 |
completed | May 3, 2026, 7:56 p.m. |
Created at: April 9, 2026, 10:08 p.m.