Triple

T7924145
Position Surface form Disambiguated ID Type / Status
Subject William Fichtner E184018 entity
Predicate familyName P18 FINISHED
Object Fichtner
Fichtner is a German-origin surname most notably associated with American character actor William Fichtner, known for his roles in film and television.
 E698043 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: Fichtner | Statement: [William Fichtner, familyName, Fichtner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fichtner
Context triple: [William Fichtner, familyName, Fichtner]
  • A. Fiser
    Fiser is a surname variant of Fischer, commonly associated with Central or Eastern European origins.
  • B. Ficker
    Ficker is the birth surname of renowned American ballerina Suzanne Farrell, one of the most celebrated muses of choreographer George Balanchine.
  • C. Fischer
    Fischer is a French beer brand known for its traditional Alsatian brewing heritage and distinctive lagers.
  • D. Fischer
    Fischer is a common German surname borne by numerous notable individuals across fields such as politics, science, sports, and the arts.
  • E. Hufstedler
    Hufstedler is the surname of Shirley Hufstedler, a prominent American judge and the first U.S. Secretary of Education.
  • 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: Fichtner
Triple: [William Fichtner, familyName, Fichtner]
Generated description
Fichtner is a German-origin surname most notably associated with American character actor William Fichtner, known for his roles in film and television.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fichtner
Target entity description: Fichtner is a German-origin surname most notably associated with American character actor William Fichtner, known for his roles in film and television.
  • A. Fiser
    Fiser is a surname variant of Fischer, commonly associated with Central or Eastern European origins.
  • B. Ficker
    Ficker is the birth surname of renowned American ballerina Suzanne Farrell, one of the most celebrated muses of choreographer George Balanchine.
  • C. Fischer
    Fischer is a French beer brand known for its traditional Alsatian brewing heritage and distinctive lagers.
  • D. Fischer
    Fischer is a common German surname borne by numerous notable individuals across fields such as politics, science, sports, and the arts.
  • E. Hufstedler
    Hufstedler is the surname of Shirley Hufstedler, a prominent American judge and the first U.S. Secretary of Education.
  • 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_69ca828fe7bc819090f52c88dcd72183 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3aac02bc8190b13fc354a4fa91d3 completed March 31, 2026, 3:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5bf3c3288190ac3df917be92f9f8 completed March 31, 2026, 5:30 a.m.
NEDg Description generation batch_69cb5f222c808190b9ef39896f149278 completed March 31, 2026, 5:44 a.m.
NED2 Entity disambiguation (via description) batch_69cb76c896c08190a67a5b572436f2d9 completed March 31, 2026, 7:24 a.m.
Created at: March 30, 2026, 5:06 p.m.