Triple
T17472276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katharine Horner |
E425446
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Horner |
—
|
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: Horner | Statement: [Katharine Horner, familyName, Horner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Horner Context triple: [Katharine Horner, familyName, Horner]
-
A.
Horner
chosen
Horner is a surname most famously associated with James Horner, the acclaimed American film composer known for scores such as Titanic and Braveheart.
-
B.
Horners
Horners is a fictional settlement in the Gillikin Country of L. Frank Baum’s Land of Oz universe.
-
C.
Horne
Horne is a small rural village and civil parish in the Tandridge district of Surrey, England.
-
D.
Horne
Horne is a surname most famously associated with Lena Horne, the pioneering African American singer, actress, and civil rights activist.
-
E.
Hering
Hering is a German surname borne by various notable individuals in fields such as science, politics, and the arts.
- 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_69d889dbc2e88190b18ea6115e819258 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451b8a51081908d94bebe2417e3d3 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:47 a.m.