Triple
T21665036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Josie Lawrence |
E534691
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Josie Lawrence |
—
|
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: Josie Lawrence | Statement: [Josie Lawrence, name, Josie Lawrence]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Josie Lawrence Context triple: [Josie Lawrence, name, Josie Lawrence]
-
A.
Josie Lawrence
chosen
Josie Lawrence is an English actress and comedian best known for her improvisational work on the TV show "Whose Line Is It Anyway?" and numerous stage and screen roles.
-
B.
Nat Jaffe
Nat Jaffe is a central character in Michael Chabon’s novel "Telegraph Avenue," depicted as one of the intertwined figures navigating family, culture, and community in contemporary Oakland and Berkeley.
-
C.
Josephine Lawrence
Josephine Lawrence was an American author and screenwriter known for her popular novels and contributions to early 20th-century film adaptations.
-
D.
Bitsie Tulloch
Bitsie Tulloch is an American actress best known for her role as Juliette Silverton/Eve on the television series "Grimm."
-
E.
Lysette Anthony
Lysette Anthony is a British actress and model known for her work in film and television, including prominent roles in comedies and genre movies.
- 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_69e0c467e1f48190af2650b19175abc4 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef6c0b26c8819092c13e59dcc3c25c |
completed | April 27, 2026, 2 p.m. |
Created at: April 16, 2026, 6:36 p.m.