Triple
T18931487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wanda Lake |
E463120
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Wanda Muir |
—
|
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: Wanda Muir | Statement: [Wanda Lake, namedAfter, Wanda Muir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wanda Muir Context triple: [Wanda Lake, namedAfter, Wanda Muir]
-
A.
Wanda Muir
chosen
Wanda Muir was the daughter of naturalist and conservationist John Muir, known primarily for her connection to his legacy.
-
B.
Wanda Ferraton
Wanda Ferraton is a Canadian former stunt performer who is married to professional wrestler and actor Bill Goldberg.
-
C.
Marie McKay
Marie McKay was the wife of Austrian-American actor Joseph Schildkraut, a prominent performer of stage and early Hollywood cinema.
-
D.
Rita Blakemoor
Rita Blakemoor is a character from Stephen King's post-apocalyptic novel "The Stand," known as a wealthy, somewhat naive New Yorker who becomes an early companion to musician Larry Underwood after a deadly plague.
-
E.
Lucia Walters
Lucia Walters is a Canadian actress known for her supporting roles in film and television, including appearances in genre and family-oriented productions.
- 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_69d8dcfdbbb881909964fa5a75bd0b48 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c9c0b84881909ad6da9522203df8 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 10, 2026, 11:59 a.m.