Triple
T23032675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tulsa King |
E573504
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Annabella Sciorra |
—
|
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: Annabella Sciorra | Statement: [Tulsa King, castMember, Annabella Sciorra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Annabella Sciorra Context triple: [Tulsa King, castMember, Annabella Sciorra]
-
A.
Annabella Sciorra
chosen
Annabella Sciorra is an American actress known for her work in film and television, including acclaimed roles in movies like "Jungle Fever" and the TV series "The Sopranos."
-
B.
Téa Leoni
Téa Leoni is an American actress and producer best known for her leading roles in film and television, including the political drama series "Madam Secretary."
-
C.
Elizabeth Berkley
Elizabeth Berkley is an American actress best known for her roles in the TV series "Saved by the Bell" and the film "Showgirls."
-
D.
Claudia Rose Pfeiffer
Claudia Rose Pfeiffer is the adopted daughter of acclaimed American actress Michelle Pfeiffer.
-
E.
Denise Russo
Denise Russo is a fictional character who serves as one of the central teen protagonists in the horror-comedy film "Scouts Guide to the Zombie Apocalypse."
- 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_69e245b911188190bc3d96326c847969 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f184822a90819081907d72c76770b0 |
completed | April 29, 2026, 4:09 a.m. |
Created at: April 17, 2026, 3:53 p.m.