Triple
T5741838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florian Ballhaus |
E126632
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Florian
Florian is a masculine given name of Latin origin, commonly used in German-speaking and other European countries.
|
E543106
|
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: Florian | Statement: [Florian Ballhaus, givenName, Florian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Florian Context triple: [Florian Ballhaus, givenName, Florian]
-
A.
Fabian
Fabian is the given name of Fabian Gottlieb von Bellingshausen, the Russian naval officer and explorer credited as one of the first to sight the Antarctic continent.
-
B.
Florenz
Florenz was the first name of Florenz Ziegfeld Jr., the influential American Broadway impresario best known for creating the Ziegfeld Follies.
-
C.
Christoph
Christoph is the given name of Christoph Willibald Gluck, the influential 18th-century composer known for reforming opera.
-
D.
Florens
Florens is a young enslaved girl and central narrator in Toni Morrison’s novel "A Mercy," whose perspective reveals the brutal realities of early colonial America.
-
E.
Roderich
Roderich is a Germanic given name, cognate with names like Roderic, typically associated with historical and noble European usage.
- 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: Florian Triple: [Florian Ballhaus, givenName, Florian]
Generated description
Florian is a masculine given name of Latin origin, commonly used in German-speaking and other European countries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Florian Target entity description: Florian is a masculine given name of Latin origin, commonly used in German-speaking and other European countries.
-
A.
Fabian
Fabian is the given name of Fabian Gottlieb von Bellingshausen, the Russian naval officer and explorer credited as one of the first to sight the Antarctic continent.
-
B.
Florenz
Florenz was the first name of Florenz Ziegfeld Jr., the influential American Broadway impresario best known for creating the Ziegfeld Follies.
-
C.
Christoph
Christoph is the given name of Christoph Willibald Gluck, the influential 18th-century composer known for reforming opera.
-
D.
Florens
Florens is a young enslaved girl and central narrator in Toni Morrison’s novel "A Mercy," whose perspective reveals the brutal realities of early colonial America.
-
E.
Roderich
Roderich is a Germanic given name, cognate with names like Roderic, typically associated with historical and noble European usage.
- 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_69c0083179548190b384b0bf3c08ca4d |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0258382908190af8787feb1e5fbcd |
completed | March 22, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e1bfe4481908740aa20d55ec8f6 |
completed | March 22, 2026, 11:41 p.m. |
| NEDg | Description generation | batch_69c08a2bc1b08190998a7e5eb8d6d6ac |
completed | March 23, 2026, 12:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c08a85b508819088464b97b6c9bb99 |
completed | March 23, 2026, 12:34 a.m. |
Created at: March 22, 2026, 3:48 p.m.