Triple
T14917584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wolfram Eberhard |
E371421
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Wolfram Eberhard |
E371421
|
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: Wolfram Eberhard | Statement: [Wolfram Eberhard, name, Wolfram Eberhard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wolfram Eberhard Context triple: [Wolfram Eberhard, name, Wolfram Eberhard]
-
A.
Wolfram Eberhard
chosen
Wolfram Eberhard was a German sociologist and sinologist known for his influential studies on Chinese society, folklore, and comparative civilization.
-
B.
Friedrich L. Bauer
Friedrich L. Bauer was a German computer scientist and pioneer in programming language design, notably contributing to the development of ALGOL 60 and foundational concepts in software engineering.
-
C.
Felix Plog
Felix Plog is an entrepreneur best known as a co-founder of the global online food delivery platform Foodpanda.
-
D.
Emil Possehl
Emil Possehl was a German industrialist and philanthropist from Lübeck, best known for building a major iron ore and steel trading empire and for endowing the Possehl Foundation to support his hometown.
-
E.
Harry Rapf
Harry Rapf was an American film producer and studio executive best known for his prolific work at Metro-Goldwyn-Mayer during the early to mid-20th century.
- 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_69d85cc7ea3481908228b5acb7d06f12 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded62038508190946499cd3552990e |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72bf2120819099df39bdc1da691b |
completed | May 8, 2026, 11:33 p.m. |
Created at: April 10, 2026, 2:32 a.m.