Triple
T15098749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johann Rupert |
E360607
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Johann Peter Rupert |
E360607
|
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: Johann Peter Rupert | Statement: [Johann Rupert, name, Johann Peter Rupert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Johann Peter Rupert Context triple: [Johann Rupert, name, Johann Peter Rupert]
-
A.
Johann Rupert
chosen
Johann Rupert is a South African billionaire businessman best known as the founder and chairman of luxury goods conglomerate Richemont.
-
B.
Roman DeBeers
Roman DeBeers is a socially awkward, sci-fi-obsessed aspiring screenwriter and cater-waiter known for his deadpan cynicism and nerdy arrogance in the comedy series "Party Down."
-
C.
George Getty
George Getty was an American lawyer and businessman who built a successful oil company that laid the foundation for the Getty family fortune.
-
D.
Gerald Ratner
Gerald Ratner was a prominent American businessman and University of Chicago alumnus and benefactor, best known for his substantial philanthropic support to the university.
-
E.
Philip Green
Philip Green was a British film and television composer and conductor known for his prolific work on mid-20th-century soundtracks.
- 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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0054f00388190a5123d9f4a869b96 |
completed | April 15, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feae230d148190a343ac92fb089902 |
completed | May 9, 2026, 3:46 a.m. |
Created at: April 10, 2026, 3:04 a.m.