Triple
T21374396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carol Lynley |
E527159
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Carol Lynley |
—
|
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: Carol Lynley | Statement: [Carol Lynley, name, Carol Lynley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carol Lynley Context triple: [Carol Lynley, name, Carol Lynley]
-
A.
Carol Lynley
chosen
Carol Lynley was an American actress and former child model best known for her roles in films of the 1960s and 1970s, including "The Poseidon Adventure."
-
B.
Shirley Hayden
Shirley Hayden is a musician best known as a member of Kid Rock’s backing band, Twisted Brown Trucker.
-
C.
Lynn Garland
Lynn Garland is the wife of U.S. Attorney General and former Supreme Court nominee Merrick Garland and is known for her work in public service and community engagement.
-
D.
Judith Ivey
Judith Ivey is an American actress and director known for her Tony Award–winning stage performances and numerous roles in film and television.
-
E.
Anna Massey
Anna Massey was an acclaimed English actress known for her nuanced performances in film, television, and theatre, including notable roles in psychological dramas and literary adaptations.
- 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_69e0b51e80808190ba5cb05667af02a9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0b3666c8190a83bb32eeba24105 |
completed | April 22, 2026, 11:27 a.m. |
Created at: April 16, 2026, 5:10 p.m.