Triple
T18262146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Harling |
E437383
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Harling |
—
|
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: Harling | Statement: [Mr. Harling, familyName, Harling]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harling Context triple: [Mr. Harling, familyName, Harling]
-
A.
Harling
chosen
Harling is a surname most notably associated with W. Franke Harling, an American composer known for his work in early 20th-century film and popular music.
-
B.
Halling
Halling was a top-class British-trained Thoroughbred racehorse of the 1990s, best known for winning multiple Group 1 middle-distance races including back-to-back Eclipse and Juddmonte International Stakes.
-
C.
Hurdal
Hurdal is a rural municipality in Viken county, Norway, known for its forests, lakes, and outdoor recreation areas such as Hurdalssjøen.
-
D.
Hegge
Hegge is a small village in the municipality of Øystre Slidre in Innlandet county, Norway, known for its traditional rural setting and historic stave church.
-
E.
Haraldsen
Haraldsen is a Norwegian surname most notably borne by Queen Sonja of Norway before her marriage into the royal family.
- 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ff76a1208190abbe6ab8720ed154 |
completed | April 19, 2026, 4:14 p.m. |
Created at: April 10, 2026, 10:34 a.m.