Triple
T11368362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vinessa Shaw |
E269274
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Vinessa Shaw |
E269274
|
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: Vinessa Shaw | Statement: [Vinessa Shaw, name, Vinessa Shaw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vinessa Shaw Context triple: [Vinessa Shaw, name, Vinessa Shaw]
-
A.
Vinessa Shaw
chosen
Vinessa Shaw is an American actress known for her roles in films such as "Hocus Pocus," "Eyes Wide Shut," and "The Hills Have Eyes."
-
B.
Veanne Cox
Veanne Cox is an American actress and singer known for her work in musical theatre, film, and television, often recognized for her comedic and character roles.
-
C.
Nadia Gray
Nadia Gray was a Romanian-born actress best known internationally for her role in Federico Fellini’s classic film "La Dolce Vita."
-
D.
Vicky Hudson
Vicky Hudson is a central, long-running fictional character from the American soap opera "Another World," known for her dramatic storylines and complex relationships.
-
E.
Angelica Ross
Angelica Ross is an American actress, producer, and transgender rights advocate best known for her groundbreaking roles in series like "Pose" and "American Horror Story."
- 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_69d6aacca1048190b39dbbc2174616fa |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea89e1148190b0ca29db9d7e2cbd |
completed | April 9, 2026, 6:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e556718fc481908543ed4bc5fe3d6e |
completed | April 19, 2026, 10:25 p.m. |
Created at: April 8, 2026, 9:33 p.m.