Triple
T22840731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japanese Story |
E566070
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Lynette Curran |
—
|
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: Lynette Curran | Statement: [Japanese Story, starring, Lynette Curran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lynette Curran Context triple: [Japanese Story, starring, Lynette Curran]
-
A.
Lynette Curran
chosen
Lynette Curran is an Australian actress known for her extensive work in film, television, and theatre since the 1960s.
-
B.
Lynette Howell
Lynette Howell is a film producer known for her work on acclaimed independent and studio films, including "The Place Beyond the Pines."
-
C.
Lynette Paradise
Lynette Paradise is an American podcast host and media personality best known as the wife of comedian and broadcaster Adam Carolla and co-host of the parenting podcast "For Crying Out Loud."
-
D.
Lynette White
Lynette White is a character in the television series "The District," which follows the professional and personal lives of law enforcement officials in Washington, D.C.
-
E.
Lynette Feenstra
Lynette Feenstra is the wife of American politician and U.S. Representative Randy Feenstra of Iowa.
- 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_69f17e83fa48819084568264ef45c833 |
completed | April 29, 2026, 3:44 a.m. |
Created at: April 17, 2026, 3:35 p.m.