Triple
T21947874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Venora |
E541979
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object | Diane Venora |
—
|
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: Diane Venora | Statement: [Venora, usedBy, Diane Venora]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diane Venora Context triple: [Venora, usedBy, Diane Venora]
-
A.
Diane Venora
chosen
Diane Venora is an American actress known for her intense, versatile performances in film, television, and theater, including prominent roles in works like "Heat" and "Romeo + Juliet."
-
B.
Sally Menke
Sally Menke was an American film editor best known for her long-time collaboration with director Quentin Tarantino on films such as Pulp Fiction, Kill Bill, and Inglourious Basterds.
-
C.
Lisanne Falk
Lisanne Falk is an American actress best known for her role as one of the popular but cruel high school girls in the cult dark comedy film "Heathers."
-
D.
Diane Gaeta
Diane Gaeta is an American actress and artist known for her work in film and television as well as her marriage to actor Logan Marshall-Green.
-
E.
Lila Bolander
Lila Bolander is a fictional character portrayed by actress Bonnie Bartlett, best known from her appearances in American television drama.
- 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_69e0c47ef0e48190a50e1bcc43f4b3fd |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1243a2f788190bd4625fa79888696 |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 7:57 p.m.