Triple
T21011102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All Eyez on Me |
E517548
|
entity |
| Predicate | starredActor |
P5563
|
FINISHED |
| Object | Kat Graham |
—
|
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: Kat Graham | Statement: [All Eyez on Me, starredActor, Kat Graham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kat Graham Context triple: [All Eyez on Me, starredActor, Kat Graham]
-
A.
Kat Graham
chosen
Kat Graham is an American actress, singer, and dancer best known for her role as Bonnie Bennett on the supernatural drama series "The Vampire Diaries."
-
B.
Emily Graham
Emily Graham is the central protagonist of the novel "On the Street Where You Live," around whom the story’s suspenseful events and character developments revolve.
-
C.
Susan Graham
Susan Graham is an acclaimed American mezzo-soprano renowned for her interpretations of French repertoire and performances on leading opera and concert stages worldwide.
-
D.
Rachel Scheer
Rachel Scheer is an actress known for her role in the horror film "The Rage."
-
E.
Julie Graham
Julie Graham is a Scottish actress known for her work in British television drama and comedy, including prominent roles in series such as "William and Mary," "Survivors," and "Benidorm."
- 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_69e0b50192308190a284fcc89dd23a49 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc3fdf3c8190abd3db7f5eb503a0 |
completed | April 21, 2026, 4:25 a.m. |
Created at: April 16, 2026, 1:53 p.m.