Triple

T13951858
Position Surface form Disambiguated ID Type / Status
Subject Gene Havlick E335544 entity
Predicate hasFamilyName P18 FINISHED
Object Havlick
Havlick is a surname most notably associated with American film editor Gene Havlick, known for his work during Hollywood’s classic era.
 E1071210 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: Havlick | Statement: [Gene Havlick, hasFamilyName, Havlick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Havlick
Context triple: [Gene Havlick, hasFamilyName, Havlick]
  • A. Gabčík
    Gabčík is a Slovak surname most notably borne by Jozef Gabčík, a World War II resistance fighter involved in the assassination of Nazi official Reinhard Heydrich.
  • B. Hodonín
    Hodonín is a town in the South Moravian Region of the Czech Republic, notable as the birthplace of the first Czechoslovak president Tomáš Garrigue Masaryk.
  • C. Hácha
    Hácha is a Czech surname most notably borne by Emil Hácha, the third President of Czechoslovakia who served during the early years of World War II.
  • D. Moravice
    Moravice is a river in the northern part of the historical Moravia region of the Czech Republic.
  • E. Kohout
    Kohout is a Czech surname borne by various notable individuals in fields such as literature, economics, and sports.
  • 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: Havlick
Triple: [Gene Havlick, hasFamilyName, Havlick]
Generated description
Havlick is a surname most notably associated with American film editor Gene Havlick, known for his work during Hollywood’s classic era.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Havlick
Target entity description: Havlick is a surname most notably associated with American film editor Gene Havlick, known for his work during Hollywood’s classic era.
  • A. Gabčík
    Gabčík is a Slovak surname most notably borne by Jozef Gabčík, a World War II resistance fighter involved in the assassination of Nazi official Reinhard Heydrich.
  • B. Hodonín
    Hodonín is a town in the South Moravian Region of the Czech Republic, notable as the birthplace of the first Czechoslovak president Tomáš Garrigue Masaryk.
  • C. Hácha
    Hácha is a Czech surname most notably borne by Emil Hácha, the third President of Czechoslovakia who served during the early years of World War II.
  • D. Moravice
    Moravice is a river in the northern part of the historical Moravia region of the Czech Republic.
  • E. Kohout
    Kohout is a Czech surname borne by various notable individuals in fields such as literature, economics, and sports.
  • 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_69d81c6081b88190b53e317c3370c8fe completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e146720819085d0f5eae558b7a4 completed April 14, 2026, 12:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1cea88081908c37836447410b97 completed May 6, 2026, 8:17 p.m.
NEDg Description generation batch_69fba53a14c48190a5f954a73a9ca42c completed May 6, 2026, 8:31 p.m.
NED2 Entity disambiguation (via description) batch_69fba5c481fc8190bda5bb4afaf85288 completed May 6, 2026, 8:34 p.m.
Created at: April 9, 2026, 10:17 p.m.