Triple

T14119570
Position Surface form Disambiguated ID Type / Status
Subject Dick Huemer E339869 entity
Predicate familyName P18 FINISHED
Object Huemer
Huemer is a surname most notably associated with Dick Huemer, an influential American animator, writer, and director from the early days of Disney animation.
E1080545 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: Huemer | Statement: [Dick Huemer, familyName, Huemer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huemer
Context triple: [Dick Huemer, familyName, Huemer]
  • A. Hoffer
    Hoffer is a surname most notably associated with Abram Hoffer, a Canadian psychiatrist known for his work in orthomolecular medicine and niacin therapy for mental illness.
  • B. Wollheim
    Wollheim is a German-origin surname associated with several notable figures in literature and publishing.
  • C. Rubenfeld
    Rubenfeld is a surname most notably associated with American actor and comedian Paul Reubens, best known for creating and portraying the character Pee-wee Herman.
  • D. Hamblin
    Hamblin is a surname and given name that serves as a variant form of Hamlin.
  • E. Hans-Hermann
    Hans-Hermann is a masculine German given name, most notably borne by the economist and libertarian philosopher Hans-Hermann Hoppe.
  • 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: Huemer
Triple: [Dick Huemer, familyName, Huemer]
Generated description
Huemer is a surname most notably associated with Dick Huemer, an influential American animator, writer, and director from the early days of Disney animation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Huemer
Target entity description: Huemer is a surname most notably associated with Dick Huemer, an influential American animator, writer, and director from the early days of Disney animation.
  • A. Hoffer
    Hoffer is a surname most notably associated with Abram Hoffer, a Canadian psychiatrist known for his work in orthomolecular medicine and niacin therapy for mental illness.
  • B. Wollheim
    Wollheim is a German-origin surname associated with several notable figures in literature and publishing.
  • C. Rubenfeld
    Rubenfeld is a surname most notably associated with American actor and comedian Paul Reubens, best known for creating and portraying the character Pee-wee Herman.
  • D. Hamblin
    Hamblin is a surname and given name that serves as a variant form of Hamlin.
  • E. Hans-Hermann
    Hans-Hermann is a masculine German given name, most notably borne by the economist and libertarian philosopher Hans-Hermann Hoppe.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de609322ac8190bb389ca250882af5 completed April 14, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0bc60088190a7e2f0c9532304e3 completed May 7, 2026, 5:49 p.m.
NEDg Description generation batch_69fcd56da6408190bdbce6581c51d065 completed May 7, 2026, 6:09 p.m.
NED2 Entity disambiguation (via description) batch_69fcd5f8266081909ff9148a77d63ea8 completed May 7, 2026, 6:12 p.m.
Created at: April 9, 2026, 10:22 p.m.