Triple

T18177421
Position Surface form Disambiguated ID Type / Status
Subject Heller E435198 entity
Predicate hasNotableBearer P458 FINISHED
Object Kurt Heller
Kurt Heller is a German psychologist known for his influential work in the field of giftedness and talent research.
E1393590 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: Kurt Heller | Statement: [Heller, hasNotableBearer, Kurt Heller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kurt Heller
Context triple: [Heller, hasNotableBearer, Kurt Heller]
  • A. Kurt Back
    Kurt Back was a social psychologist known for his collaborative research in social behavior and group dynamics, including work with Leon Festinger.
  • B. Kurt Fischer
    Kurt Fischer is a theatrical sound designer best known for his work on the original Broadway production of the musical "Rent."
  • C. Kurt Loder
    Kurt Loder is an American film critic, author, and longtime MTV News journalist best known for his influential coverage of music and pop culture.
  • D. Erwin Kurtz
    Erwin Kurtz is a person notable enough to be recognized as a significant bearer of the surname Kurtz.
  • E. Richard Kletter
    Richard Kletter is an American screenwriter and producer known for his work in film and television, including contributions to family and adventure movies.
  • 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: Kurt Heller
Triple: [Heller, hasNotableBearer, Kurt Heller]
Generated description
Kurt Heller is a German psychologist known for his influential work in the field of giftedness and talent research.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kurt Heller
Target entity description: Kurt Heller is a German psychologist known for his influential work in the field of giftedness and talent research.
  • A. Kurt Back
    Kurt Back was a social psychologist known for his collaborative research in social behavior and group dynamics, including work with Leon Festinger.
  • B. Kurt Fischer
    Kurt Fischer is a theatrical sound designer best known for his work on the original Broadway production of the musical "Rent."
  • C. Kurt Loder
    Kurt Loder is an American film critic, author, and longtime MTV News journalist best known for his influential coverage of music and pop culture.
  • D. Erwin Kurtz
    Erwin Kurtz is a person notable enough to be recognized as a significant bearer of the surname Kurtz.
  • E. Richard Kletter
    Richard Kletter is an American screenwriter and producer known for his work in film and television, including contributions to family and adventure movies.
  • 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_69d8b90c7ec081909b4694ccecb449c6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4df5a72008190bd2e56205b995a87 completed April 19, 2026, 1:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07bd4725608190b1af4b9d64e362a8 completed May 16, 2026, 12:41 a.m.
NEDg Description generation batch_6a07bdd25abc81908dac2444f7a9625e completed May 16, 2026, 12:44 a.m.
NED2 Entity disambiguation (via description) batch_6a07be58e4088190a01c67b21b5ca34d completed May 16, 2026, 12:46 a.m.
Created at: April 10, 2026, 10:31 a.m.