Triple
T13104228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Friederike Kempner |
E310802
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Kempner |
E60868
|
NE FINISHED |
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: Kempner | Statement: [Friederike Kempner, familyName, Kempner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kempner Context triple: [Friederike Kempner, familyName, Kempner]
-
A.
Kempner
chosen
Kempner is a surname most notably associated with Karen Kempner Zuckerberg, the mother of Facebook co-founder Mark Zuckerberg.
-
B.
Kemper
Kemper is a surname most prominently associated with the American banking and philanthropic family involved in finance, arts, and education.
-
C.
Kemp
Kemp is a surname most famously associated with former NBA All-Star forward Shawn Kemp, known for his high-flying dunks with the Seattle SuperSonics in the 1990s.
-
D.
Kemp
Kemp is a character in H. G. Wells' science fiction novel "The Invisible Man," serving as a former acquaintance and eventual victim of the unhinged scientist Dr. Jack Griffin.
-
E.
Kimball
Kimball is a small city in the Nebraska Panhandle that serves as the county seat of Kimball County and a local hub for the surrounding rural region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98153255c8190b6ab64ac0c4716f8 |
completed | April 10, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e277b89c8190a0d895eb46836525 |
completed | May 3, 2026, 5:51 a.m. |
Created at: April 9, 2026, 9:05 p.m.