Triple
T19771222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hertzfeld |
E474891
|
entity |
| Predicate | hasSpellingVariant |
P457
|
FINISHED |
| Object | Herzfeld |
—
|
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: Herzfeld | Statement: [Hertzfeld, hasSpellingVariant, Herzfeld]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Herzfeld Context triple: [Hertzfeld, hasSpellingVariant, Herzfeld]
-
A.
Herzfeld
chosen
Herzfeld is a German-language surname borne by various notable figures in fields such as archaeology, physics, and the arts.
-
B.
Ussishkin
Ussishkin is a Jewish family name most prominently associated with Zionist leader Menachem Ussishkin.
-
C.
Sambursky
Sambursky is the surname of Shmuel Sambursky, an Israeli physicist and historian of science known for his work on the conceptual foundations of physics in antiquity and the Middle Ages.
-
D.
Rosenbad
Rosenbad is a prominent government building complex in central Stockholm that houses the offices of the Prime Minister and the Swedish Government.
-
E.
Lautenthal
Lautenthal is a small historic mining town in Germany’s Harz Mountains, known for its picturesque valley setting and former silver mining industry.
- 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_69d8e51a43a08190956bc6df13c91a77 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6535bd8c0819097671783962b6bc5 |
completed | April 20, 2026, 4:25 p.m. |
Created at: April 10, 2026, 1:48 p.m.