Triple

T17232187
Position Surface form Disambiguated ID Type / Status
Subject Frank Wildhorn E418269 entity
Predicate familyName P18 FINISHED
Object Wildhorn
Wildhorn is a surname most notably associated with American composer Frank Wildhorn, known for his work in musical theatre.
 E1256989 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: Wildhorn | Statement: [Frank Wildhorn, familyName, Wildhorn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wildhorn
Context triple: [Frank Wildhorn, familyName, Wildhorn]
  • A. Walhorn
    Walhorn is a village in the municipality of Lontzen in eastern Belgium, known for its rural character and historical setting near the German border.
  • B. Hornig
    Hornig is a surname most notably associated with Donald F. Hornig, an American chemist and presidential science advisor involved in the Manhattan Project.
  • C. Balmhorn
    Balmhorn is a prominent mountain in the Bernese Alps of Switzerland, known for its glaciated slopes and classic alpine climbing routes.
  • D. Fiescherhörner
    Fiescherhörner is a group of prominent high Alpine peaks in the Bernese Alps of Switzerland, known for their glaciated summits and challenging mountaineering routes.
  • E. Hornschuch
    Hornschuch is a German surname most notably associated with Karl Georg Hornschuch, a 19th-century botanist and bryologist.
  • 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: Wildhorn
Triple: [Frank Wildhorn, familyName, Wildhorn]
Generated description
Wildhorn is a surname most notably associated with American composer Frank Wildhorn, known for his work in musical theatre.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wildhorn
Target entity description: Wildhorn is a surname most notably associated with American composer Frank Wildhorn, known for his work in musical theatre.
  • A. Walhorn
    Walhorn is a village in the municipality of Lontzen in eastern Belgium, known for its rural character and historical setting near the German border.
  • B. Hornig
    Hornig is a surname most notably associated with Donald F. Hornig, an American chemist and presidential science advisor involved in the Manhattan Project.
  • C. Balmhorn
    Balmhorn is a prominent mountain in the Bernese Alps of Switzerland, known for its glaciated slopes and classic alpine climbing routes.
  • D. Fiescherhörner
    Fiescherhörner is a group of prominent high Alpine peaks in the Bernese Alps of Switzerland, known for their glaciated summits and challenging mountaineering routes.
  • E. Hornschuch
    Hornschuch is a German surname most notably associated with Karl Georg Hornschuch, a 19th-century botanist and bryologist.
  • 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_69d886d8e96081909870bff6c3d0bf09 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42df7da748190a3a1762a67eb871b completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a016760873c8190bab70ad4ca0c6d8e completed May 11, 2026, 5:21 a.m.
NEDg Description generation batch_6a016838367c8190b5117d5314f71a16 completed May 11, 2026, 5:25 a.m.
NED2 Entity disambiguation (via description) batch_6a0168976af88190a5f839a93538ac6f completed May 11, 2026, 5:26 a.m.
Created at: April 10, 2026, 5:39 a.m.