Triple
T21875452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ethel Wales |
E540129
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Ethel |
—
|
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: Ethel | Statement: [Ethel Wales, givenName, Ethel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ethel Context triple: [Ethel Wales, givenName, Ethel]
-
A.
Ethel
chosen
Ethel is a feminine given name of Old English origin, historically popular in English-speaking countries.
-
B.
Ethel Darling
Ethel Darling is a bearded lady and maternal figure in the television series "American Horror Story: Freak Show," known for her tragic past and complex relationship with her son, Jimmy.
-
C.
Edith
Edith is the full given name of American actress Edie Falco, best known for her Emmy-winning role as Carmela Soprano on the television series "The Sopranos."
-
D.
Edith
Edith is a central character in Jacques Demy’s 1982 French musical film "Une chambre en ville," whose turbulent romantic and social struggles unfold against the backdrop of a workers’ strike in Nantes.
-
E.
Edith
Edith is a fictional character who appears in the comic series "Edith and the Kingpin."
- 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_69e0c479a98081908ce333853fdd4348 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0f33957f481908789b054a4fd1b77 |
completed | April 28, 2026, 5:49 p.m. |
Created at: April 16, 2026, 7:02 p.m.