Triple
T17758103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alex Karp |
E443297
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Karp |
—
|
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: Karp | Statement: [Alex Karp, familyName, Karp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karp Context triple: [Alex Karp, familyName, Karp]
-
A.
Karp
chosen
Karp is a surname most notably associated with David Karp, the founder of the microblogging platform Tumblr.
-
B.
Kukarka
Kukarka is a small Russian locality historically known as the birthplace of Soviet politician Vyacheslav Molotov.
-
C.
Karo
Karo is a Jewish family name most famously associated with Rabbi Yosef Karo, the 16th-century author of the Shulchan Aruch.
-
D.
Karo
Karo are an indigenous Batak ethnic group of the highlands of North Sumatra, Indonesia, known for their distinct language, culture, and traditional village architecture.
-
E.
Karry
Karry is a Chinese automotive brand owned by Chery Automobile that focuses on producing commercial vehicles such as vans and light trucks.
- 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4841fe97881908f4df503fb781763 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 10:10 a.m.