Triple

T16079773
Position Surface form Disambiguated ID Type / Status
Subject Theodor Fontane E390074 entity
Predicate familyName P18 FINISHED
Object Fontane
Fontane is a German surname most famously borne by Theodor Fontane, a 19th-century realist novelist and poet.
 E1193047 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: Fontane | Statement: [Theodor Fontane, familyName, Fontane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fontane
Context triple: [Theodor Fontane, familyName, Fontane]
  • A. Fontan
    Fontan is a fictional character named Nana Fontan, likely appearing in a narrative work such as a novel, film, or television series.
  • B. Viollet
    Viollet is a surname most notably associated with Dennis Viollet, an English footballer who starred for Manchester United in the 1950s.
  • C. Valadier
    Valadier is an Italian surname most notably associated with Giuseppe Valadier, a prominent neoclassical architect and urban planner of the late 18th and early 19th centuries.
  • D. Mistinguett
    Mistinguett was a famous French actress and singer of the early 20th century, celebrated as one of Paris’s most iconic music-hall stars.
  • E. Torrei Hart
    Torrei Hart is an American actress, comedian, and television personality, known for her work in film and reality TV as well as her past marriage to comedian Kevin Hart.
  • 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: Fontane
Triple: [Theodor Fontane, familyName, Fontane]
Generated description
Fontane is a German surname most famously borne by Theodor Fontane, a 19th-century realist novelist and poet.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fontane
Target entity description: Fontane is a German surname most famously borne by Theodor Fontane, a 19th-century realist novelist and poet.
  • A. Fontan
    Fontan is a fictional character named Nana Fontan, likely appearing in a narrative work such as a novel, film, or television series.
  • B. Viollet
    Viollet is a surname most notably associated with Dennis Viollet, an English footballer who starred for Manchester United in the 1950s.
  • C. Valadier
    Valadier is an Italian surname most notably associated with Giuseppe Valadier, a prominent neoclassical architect and urban planner of the late 18th and early 19th centuries.
  • D. Mistinguett
    Mistinguett was a famous French actress and singer of the early 20th century, celebrated as one of Paris’s most iconic music-hall stars.
  • E. Torrei Hart
    Torrei Hart is an American actress, comedian, and television personality, known for her work in film and reality TV as well as her past marriage to comedian Kevin Hart.
  • 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e18448bebc8190b0e84b1da097bf8b completed April 17, 2026, 12:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe48adec081909623355eabee472c completed May 10, 2026, 1:51 a.m.
NEDg Description generation batch_69ffe6af1c4081908b57f4dc485fbb14 completed May 10, 2026, 2 a.m.
NED2 Entity disambiguation (via description) batch_69ffe769d56081908f723e92d327e315 completed May 10, 2026, 2:03 a.m.
Created at: April 10, 2026, 4:57 a.m.