Triple
T18143447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georg Joseph Kamel |
E434319
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Kamel |
—
|
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: Kamel | Statement: [Georg Joseph Kamel, familyName, Kamel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kamel Context triple: [Georg Joseph Kamel, familyName, Kamel]
-
A.
Kamel
chosen
Kamel is a given name, often used in Arabic-speaking and related cultures, that serves as a variant form of the name Kamal.
-
B.
Camel
Camel is a long-established American cigarette brand known for its distinctive camel logo and association with R.J. Reynolds Tobacco Company.
-
C.
Camel
Camel is the NATO reporting name for the Tupolev Tu-104, a Soviet-era twinjet airliner and one of the world’s first successful jet-powered passenger aircraft.
-
D.
Burro
"Burro" is a remix track associated with the song "Jack-Ass," likely offering an alternative or extended version of the original recording.
-
E.
Dronkey
Dronkey is a fictional hybrid creature—half dragon, half donkey—from the Shrek film series, known as the offspring of Donkey and Dragon.
- 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de0da3e081908732ed022f5eb90a |
completed | April 19, 2026, 1:52 p.m. |
Created at: April 10, 2026, 10:29 a.m.