Triple
T19803971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Genevieve Angelson |
E475760
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Flack |
—
|
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: Flack | Statement: [Genevieve Angelson, notableWork, Flack]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flack Context triple: [Genevieve Angelson, notableWork, Flack]
-
A.
Flack
chosen
Flack is a darkly comedic British drama series about a sharp-tongued American PR executive in London who cleans up celebrity scandals while her own life unravels.
-
B.
Flucker
Flucker is the surname of Lucy Flucker Knox, the American Revolutionary War-era figure and wife of Continental Army General Henry Knox.
-
C.
Flair
Flair is a popular line of felt-tip pens known for their smooth writing and vibrant ink, produced under the Paper Mate brand.
-
D.
Flo
Flo is a Turkish film directed by Geoffrey Lewis, recognized as one of his notable works.
-
E.
Flo
Flo is a supporting character in Pixar's "Cars" franchise, known as the stylish turquoise show car who runs Flo's V8 Café in Radiator Springs.
- 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e654266e18819085698aed8b0e2ba8 |
completed | April 20, 2026, 4:28 p.m. |
Created at: April 10, 2026, 1:49 p.m.