Triple
T18305885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kay Lake |
E438481
|
entity |
| Predicate | romanticRelationshipWith |
P9994
|
FINISHED |
| Object | Lee Blanchard |
—
|
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: Lee Blanchard | Statement: [Kay Lake, romanticRelationshipWith, Lee Blanchard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lee Blanchard Context triple: [Kay Lake, romanticRelationshipWith, Lee Blanchard]
-
A.
Lee Blanchard
chosen
Lee Blanchard is a fictional Los Angeles detective in James Ellroy’s crime novel "The Black Dahlia," deeply obsessed with solving the infamous 1947 Elizabeth Short murder case.
-
B.
Susan Blanchard
Susan Blanchard is an American socialite and former Broadway production assistant best known as the third wife of actor Henry Fonda.
-
C.
Sisson Blanchard
Sisson Blanchard is a Haitian naïve painter known for his vibrant, folkloric scenes that reflect rural life and cultural traditions in Haiti.
-
D.
Jean Hazlewood
Jean Hazlewood was an American screenwriter best known for her long marriage to actor Richard Widmark and her work adapting literary material for film.
-
E.
Rachel Blanchard
Rachel Blanchard is a Canadian actress known for her roles in film and television, including the series "Clueless" and various comedy and drama projects.
- 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50183394081909b86cefaaa0a3aa8 |
completed | April 19, 2026, 4:23 p.m. |
Created at: April 10, 2026, 10:35 a.m.