Triple

T9539239
Position Surface form Disambiguated ID Type / Status
Subject June Hovick E230103 entity
Predicate familyName P18 FINISHED
Object Hovick
Hovick is the surname of American actress and author June Hovick, better known as June Havoc, a vaudeville child star and Broadway performer.
E805305 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: Hovick | Statement: [June Hovick, familyName, Hovick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hovick
Context triple: [June Hovick, familyName, Hovick]
  • A. Hoornaar
    Hoornaar is a village in the Dutch province of South Holland, known for its rural character and traditional polder landscape.
  • B. Bervie
    Bervie is a civil parish in Aberdeenshire, Scotland, encompassing the coastal town of Inverbervie and its surrounding area.
  • C. Steenbock
    Steenbock is a German-origin surname most notably associated with biochemist Harry Steenbock, known for his pioneering work on vitamin D fortification.
  • D. Melk
    Melk is a small Austrian town on the Danube best known for its magnificent baroque Benedictine abbey overlooking the Wachau Valley.
  • E. Borregaard
    Borregaard is a Norwegian biorefinery company that produces advanced and sustainable bio-based chemicals and materials from wood.
  • 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: Hovick
Triple: [June Hovick, familyName, Hovick]
Generated description
Hovick is the surname of American actress and author June Hovick, better known as June Havoc, a vaudeville child star and Broadway performer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hovick
Target entity description: Hovick is the surname of American actress and author June Hovick, better known as June Havoc, a vaudeville child star and Broadway performer.
  • A. Hoornaar
    Hoornaar is a village in the Dutch province of South Holland, known for its rural character and traditional polder landscape.
  • B. Bervie
    Bervie is a civil parish in Aberdeenshire, Scotland, encompassing the coastal town of Inverbervie and its surrounding area.
  • C. Steenbock
    Steenbock is a German-origin surname most notably associated with biochemist Harry Steenbock, known for his pioneering work on vitamin D fortification.
  • D. Melk
    Melk is a small Austrian town on the Danube best known for its magnificent baroque Benedictine abbey overlooking the Wachau Valley.
  • E. Borregaard
    Borregaard is a Norwegian biorefinery company that produces advanced and sustainable bio-based chemicals and materials from wood.
  • 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_69ca847b1b3081908f72bc932c17cc41 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98e4df6c8190a4d1160c42daa45f completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14c5da5a081909d646c69d5de8e18 completed April 4, 2026, 5:37 p.m.
NEDg Description generation batch_69d14d0c39c88190a705470104dc7b80 completed April 4, 2026, 5:40 p.m.
NED2 Entity disambiguation (via description) batch_69d14d79065081908a4e619c71e0d359 completed April 4, 2026, 5:42 p.m.
Created at: March 30, 2026, 8:01 p.m.