Triple
T13227661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bertha Benz |
E314922
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Clara Benz |
E316832
|
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: Clara Benz | Statement: [Bertha Benz, child, Clara Benz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clara Benz Context triple: [Bertha Benz, child, Clara Benz]
-
A.
Clara Benz
chosen
Clara Benz was one of the children of German engineer and automobile pioneer Karl Benz.
-
B.
Bertha Maybach
Bertha Maybach was the wife of German engineer and automobile pioneer Wilhelm Maybach, associated with the early history of the automotive industry.
-
C.
Bertha Wolfsohn
Bertha Wolfsohn was the wife of the renowned Talmudic scholar and rabbi Marcus Jastrow.
-
D.
Bertha Benz
Bertha Benz was a German automotive pioneer best known for undertaking the first long-distance automobile journey in 1888, which proved the practicality of her husband Karl Benz’s invention and helped launch the modern car industry.
-
E.
Clara Beyer
Clara Beyer is known as the daughter of American politician and diplomat Don Beyer.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d3232d48190a3c792b025c596a6 |
completed | April 10, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff2a4b0c8190a853a1f6f4d1cbaf |
completed | May 3, 2026, 7:54 a.m. |
Created at: April 9, 2026, 9:21 p.m.