Triple
T1963249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buddenbrooks |
E42632
|
entity |
| Predicate | notableCharacter |
P1481
|
FINISHED |
| Object |
Tony Buddenbrook
Tony Buddenbrook is a central character in Thomas Mann’s novel "Buddenbrooks," embodying the decline of a wealthy Lübeck merchant family through her ill-fated marriages and conflicted sense of duty and personal desire.
|
E220668
|
NE FINISHED |
How this triple was built (4 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: Tony Buddenbrook | Statement: [Buddenbrooks, notableCharacter, Tony Buddenbrook]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tony Buddenbrook Context triple: [Buddenbrooks, notableCharacter, Tony Buddenbrook]
-
A.
Emil
Emil is the given name of Carl Gustaf Emil Mannerheim, the renowned Finnish military leader and statesman who served as President of Finland.
-
B.
Anton
Anton is a masculine given name of Latin origin, commonly used in various European and Slavic countries.
-
C.
Franz
Franz is the given name of Franz Cardinal König, a prominent 20th-century Austrian Catholic cardinal and influential church leader.
-
D.
Gregor
Gregor is a masculine given name of Latin origin, commonly associated with figures such as the pioneering geneticist Gregor Mendel.
-
E.
Oskar
Oskar is a masculine given name of Germanic origin, commonly used in various European countries.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tony Buddenbrook Triple: [Buddenbrooks, notableCharacter, Tony Buddenbrook]
Generated description
Tony Buddenbrook is a central character in Thomas Mann’s novel "Buddenbrooks," embodying the decline of a wealthy Lübeck merchant family through her ill-fated marriages and conflicted sense of duty and personal desire.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tony Buddenbrook Target entity description: Tony Buddenbrook is a central character in Thomas Mann’s novel "Buddenbrooks," embodying the decline of a wealthy Lübeck merchant family through her ill-fated marriages and conflicted sense of duty and personal desire.
-
A.
Emil
Emil is the given name of Carl Gustaf Emil Mannerheim, the renowned Finnish military leader and statesman who served as President of Finland.
-
B.
Anton
Anton is a masculine given name of Latin origin, commonly used in various European and Slavic countries.
-
C.
Franz
Franz is the given name of Franz Cardinal König, a prominent 20th-century Austrian Catholic cardinal and influential church leader.
-
D.
Gregor
Gregor is a masculine given name of Latin origin, commonly associated with figures such as the pioneering geneticist Gregor Mendel.
-
E.
Oskar
Oskar is a masculine given name of Germanic origin, commonly used in various European countries.
- F. None of above. chosen
Provenance (5 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_69a88711151c8190940b2572095059d7 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb3ac31a08190abaecac8badc52c7 |
completed | March 7, 2026, 5:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfbd32eb88190a2069b6490b12e5d |
completed | March 8, 2026, 10:44 p.m. |
| NEDg | Description generation | batch_69adfc50a3488190afe44ee5125d9ebd |
completed | March 8, 2026, 10:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adfcdccce48190a2591b90c81ad084 |
completed | March 8, 2026, 10:49 p.m. |
Created at: March 4, 2026, 7:36 p.m.