Triple
T22223561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lena Horne |
E549274
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Horne |
—
|
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: Horne | Statement: [Lena Horne, familyName, Horne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Horne Context triple: [Lena Horne, familyName, Horne]
-
A.
Horne
Horne is a small rural village and civil parish in the Tandridge district of Surrey, England.
-
B.
Horne
chosen
Horne is a surname most famously associated with Lena Horne, the pioneering African American singer, actress, and civil rights activist.
-
C.
Harnell
Harnell is a surname most notably associated with American voice actor and singer Jess Harnell.
-
D.
Schermerhorne
Schermerhorne is a variant spelling of the Dutch surname Schermerhorn, which is associated with a historic family name and several notable places and individuals.
-
E.
Horneff
Horneff is a German-language surname most notably borne by American actor Wil Horneff.
- 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_69e11e403d6481909a94d0aaf157f6ef |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b92b79c8190a8a4d33591abd763 |
completed | April 28, 2026, 9:50 p.m. |
Created at: April 16, 2026, 8:37 p.m.