Triple
T7561266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Non-Stop |
E178798
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Lupita Nyong'o |
E110274
|
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: Lupita Nyong'o | Statement: [Non-Stop, starring, Lupita Nyong'o]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lupita Nyong'o Context triple: [Non-Stop, starring, Lupita Nyong'o]
-
A.
Lupita Nyong'o
chosen
Lupita Nyong'o is a Kenyan-Mexican actress acclaimed for her powerful film performances, stage work, and advocacy for diversity and representation in Hollywood.
-
B.
Leleti Khumalo
Leleti Khumalo is a South African actress best known for her powerful role in the anti-apartheid film and stage musical "Sarafina!" and for her work in television dramas.
-
C.
Susan Kelechi Watson
Susan Kelechi Watson is an American actress best known for her role as Beth Pearson on the television series "This Is Us."
-
D.
Angela Bassett
Angela Bassett is an acclaimed American actress known for her powerful performances in film and television, particularly in biographical and dramatic roles.
-
E.
Gabourey Sidibe
Gabourey Sidibe is an American actress best known for her acclaimed, Oscar-nominated breakout performance in the film "Precious."
- 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_69c69f2f80288190b95cceb4da92ab2b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8f847c48190a1081aa9de7ff945 |
completed | March 27, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c856d0cbfc8190b2cb2b601a7b078c |
completed | March 28, 2026, 10:31 p.m. |
Created at: March 27, 2026, 3:50 p.m.