Triple
T22837813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flack |
E565993
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Lydia Wilson |
—
|
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: Lydia Wilson | Statement: [Flack, starring, Lydia Wilson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lydia Wilson Context triple: [Flack, starring, Lydia Wilson]
-
A.
Lydia Wilson
chosen
Lydia Wilson is a British actress known for her work in film, television, and theatre, including roles in projects like "About Time" and the BBC drama "Ripper Street."
-
B.
Lydia Woodward
Lydia Woodward is an American television writer and producer best known for her work on the acclaimed medical drama series "ER."
-
C.
Lydia Grant
Lydia Grant is a tough, inspirational dance teacher and disciplinarian at New York's High School for the Performing Arts in the television series "Fame."
-
D.
Lydia Knott
Lydia Knott was an American character actress of the silent and early sound film era, known for her supporting roles in numerous Hollywood productions of the 1910s and 1920s.
-
E.
Lydia Leonard
Lydia Leonard is a British actress known for her work on stage and screen, including acclaimed performances in productions such as "Wolf Hall" and various West End and television roles.
- 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_69e245869e188190a196584f36e682da |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e303cec81909c5c118dc8c93354 |
completed | April 29, 2026, 3:42 a.m. |
Created at: April 17, 2026, 3:35 p.m.