Triple
T10682400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cake (2014 film) |
E251789
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Britt Robertson |
E529145
|
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: Britt Robertson | Statement: [Cake (2014 film), starring, Britt Robertson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Britt Robertson Context triple: [Cake (2014 film), starring, Britt Robertson]
-
A.
Britt Robertson
chosen
Britt Robertson is an American actress known for her leading roles in films like "The Longest Ride" and television series such as "Life Unexpected" and "Girlboss."
-
B.
Zoey Deutch
Zoey Deutch is an American actress known for her roles in films such as "Before I Fall," "Set It Up," and "Zombieland: Double Tap."
-
C.
Dakota O'Donnell
Dakota O'Donnell is one of the adopted children of American comedian, actress, and television personality Rosie O'Donnell.
-
D.
Jessica Lucas
Jessica Lucas is a Canadian actress known for her roles in film and television, including prominent appearances in projects like the monster movie "Cloverfield."
-
E.
Dakota Fanning
Dakota Fanning is an American actress who rose to fame as a child star in films like "I Am Sam" and has since built a diverse career in both mainstream and independent cinema.
- 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fcc30be481909922844b539b622d |
completed | April 9, 2026, 1:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69deb07626988190a46d8a54eda156f5 |
completed | April 14, 2026, 9:24 p.m. |
Created at: April 8, 2026, 9:10 p.m.