Triple
T13542831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virginia Quinn |
E323432
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Virginia Quinn |
E323432
|
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: Virginia Quinn | Statement: [Virginia Quinn, name, Virginia Quinn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Virginia Quinn Context triple: [Virginia Quinn, name, Virginia Quinn]
-
A.
Virginia Quinn
chosen
Virginia Quinn, better known as Ginny Newhart, was an American television personality and the longtime wife of comedian Bob Newhart.
-
B.
Martine Bartlett
Martine Bartlett was an American character actress known for her intense and often emotionally complex roles in film and television during the mid-20th century.
-
C.
Marian Quinn
Marian Quinn is an Irish filmmaker and actress known for writing and directing the independent film "32A."
-
D.
Lisa Vidal
Lisa Vidal is an American actress known for her work in television dramas and films, including prominent roles in series like "The Division," "ER," and "Being Mary Jane."
-
E.
Kim Burgess
Kim Burgess is a dedicated and resilient patrol officer-turned-detective in the Chicago Police Department’s Intelligence Unit on the television series "Chicago P.D."
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafd8ba10819098faadcc6adf251e |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75da094288190aff108b006c3da1f |
completed | May 3, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:45 p.m.