Triple
T9919835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Verna Felton |
E185964
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Verna |
E123170
|
NE FINISHED |
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: Verna | Statement: [Verna Felton, givenName, Verna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Verna Context triple: [Verna Felton, givenName, Verna]
-
A.
Verna
chosen
Verna is a feminine given name that gained particular recognition through film editor Verna Fields, known for her work on movies like "Jaws."
-
B.
Ferminia
Ferminia is a small genus of wrens in the family Troglodytidae, best known for the critically endangered Cuban endemic species Ferminia cerverai (the Zapata wren).
-
C.
Lyonne
Lyonne is the surname of American actress, writer, director, and producer Natasha Lyonne, known for her roles in "Orange Is the New Black" and "Russian Doll."
-
D.
Dunaway
Dunaway is the surname of acclaimed American actress Faye Dunaway, known for her iconic roles in films such as "Bonnie and Clyde" and "Network."
-
E.
Geraldene
Geraldene is a feminine given name, typically considered a variant spelling of Geraldine.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca829b45f481909040f7b99a1976ed |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb5699bc48190961e036d1131fef0 |
completed | April 2, 2026, 12:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20df77f208190b550b888bf7b55ea |
completed | April 5, 2026, 7:23 a.m. |
Created at: March 30, 2026, 8:42 p.m.