Triple
T21957800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The TV Set |
E542236
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Lucy Davis |
—
|
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: Lucy Davis | Statement: [The TV Set, starring, Lucy Davis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lucy Davis Context triple: [The TV Set, starring, Lucy Davis]
-
A.
Lucy Davis
chosen
Lucy Davis is a British actress best known for her comedic and character roles in film and television, including her appearance in the 2017 superhero film "Wonder Woman."
-
B.
Lucy Marlow
Lucy Marlow was an American film and television actress of the 1950s, known for supporting roles in Hollywood productions including the musical drama "A Star Is Born."
-
C.
Lucy Deakins
Lucy Deakins is an American former actress best known for her lead role in the 1986 fantasy drama film "The Boy Who Could Fly."
-
D.
Lucy Ashton
Lucy Ashton is the tragic heroine of Sir Walter Scott's novel "The Bride of Lammermoor," whose ill-fated love and forced marriage lead to madness and death.
-
E.
Lucy Fletcher
Lucy Fletcher is the daughter of Ian Fletcher.
- 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_69e0c47fab1081908dc74a6545dbb051 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1244108948190a08e6966e55c4acd |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 8 p.m.