Triple

T14678318
Position Surface form Disambiguated ID Type / Status
Subject Ben Schnetzer E344706 entity
Predicate familyName P18 FINISHED
Object Schnetzer
Schnetzer is a surname most notably associated with American actor Ben Schnetzer, known for his roles in films such as "Pride" and "The Book Thief."
 E1113367 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: Schnetzer | Statement: [Ben Schnetzer, familyName, Schnetzer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Schnetzer
Context triple: [Ben Schnetzer, familyName, Schnetzer]
  • A. Schmetzer
    Schmetzer is a surname most notably associated with American soccer coach Brian Schmetzer.
  • B. Zerbe
    Zerbe is a surname of German origin borne by various notable individuals, including American actor Anthony Zerbe.
  • C. Nitzschka
    Nitzschka is a village and district of the town of Wurzen in the Free State of Saxony, Germany.
  • D. Brechtel
    Brechtel is a residential subarea within the Algiers neighborhood of New Orleans, Louisiana.
  • E. Matzelsberger
    Matzelsberger is a German-language surname most notably associated with Franziska Matzelsberger, the second wife of Emperor Franz Joseph I of Austria.
  • 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: Schnetzer
Triple: [Ben Schnetzer, familyName, Schnetzer]
Generated description
Schnetzer is a surname most notably associated with American actor Ben Schnetzer, known for his roles in films such as "Pride" and "The Book Thief."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Schnetzer
Target entity description: Schnetzer is a surname most notably associated with American actor Ben Schnetzer, known for his roles in films such as "Pride" and "The Book Thief."
  • A. Schmetzer
    Schmetzer is a surname most notably associated with American soccer coach Brian Schmetzer.
  • B. Zerbe
    Zerbe is a surname of German origin borne by various notable individuals, including American actor Anthony Zerbe.
  • C. Nitzschka
    Nitzschka is a village and district of the town of Wurzen in the Free State of Saxony, Germany.
  • D. Brechtel
    Brechtel is a residential subarea within the Algiers neighborhood of New Orleans, Louisiana.
  • E. Matzelsberger
    Matzelsberger is a German-language surname most notably associated with Franziska Matzelsberger, the second wife of Emperor Franz Joseph I of Austria.
  • 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_69d822e34b348190ada4d1cdb6c7c226 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb567c2b88190a9639e61b6fba7df completed April 14, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde17e5a1c8190b1bf5565eab9d519 completed May 8, 2026, 1:13 p.m.
NEDg Description generation batch_69fde54010148190b2bb3fcb58032522 completed May 8, 2026, 1:29 p.m.
NED2 Entity disambiguation (via description) batch_69fde6291df88190a5414a82e719e47d completed May 8, 2026, 1:33 p.m.
Created at: April 10, 2026, 1:27 a.m.