Triple
T22127939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palomino |
E546837
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Geraldene |
—
|
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: Geraldene | Statement: [Palomino, hasPart, Geraldene]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Geraldene Context triple: [Palomino, hasPart, Geraldene]
-
A.
Geraldene
chosen
Geraldene is a feminine given name, typically considered a variant spelling of Geraldine.
-
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.
Laurendine
Laurendine was the former name of the community now known as Theodore in Mobile County, Alabama.
-
D.
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."
-
E.
Verna
Verna is a feminine given name that gained particular recognition through film editor Verna Fields, known for her work on movies like "Jaws."
- 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_69e11e39bf348190b541bfa16a7b71e0 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12982eaa08190933d3036c020f562 |
completed | April 28, 2026, 9:41 p.m. |
Created at: April 16, 2026, 8:32 p.m.