Triple

T20488769
Position Surface form Disambiguated ID Type / Status
Subject Frank De Kova E502681 entity
Predicate familyName P18 FINISHED
Object De Kova
De Kova is a surname most notably associated with American character actor Frank De Kova, known for his roles in mid-20th-century film and television.
 E1434015 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: De Kova | Statement: [Frank De Kova, familyName, De Kova]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: De Kova
Context triple: [Frank De Kova, familyName, De Kova]
  • A. Kove
    Kove is an Austronesian language spoken in coastal communities of New Britain in Papua New Guinea.
  • B. Kohner
    Kohner is a surname most notably associated with American actress Susan Kohner, known for her acclaimed film and television work in the mid-20th century.
  • C. Kwintsheul
    Kwintsheul is a village in the Dutch province of South Holland, known for its greenhouse horticulture and location within the Westland region.
  • D. Naaldekoker
    Naaldekoker is a notable literary work by Afrikaans poet D. J. Opperman, recognized for its contribution to modern Afrikaans poetry.
  • E. Carandini
    Carandini is an Italian noble family name historically associated with aristocracy and notable cultural figures.
  • 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: De Kova
Triple: [Frank De Kova, familyName, De Kova]
Generated description
De Kova is a surname most notably associated with American character actor Frank De Kova, known for his roles in mid-20th-century film and television.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: De Kova
Target entity description: De Kova is a surname most notably associated with American character actor Frank De Kova, known for his roles in mid-20th-century film and television.
  • A. Kove
    Kove is an Austronesian language spoken in coastal communities of New Britain in Papua New Guinea.
  • B. Kohner
    Kohner is a surname most notably associated with American actress Susan Kohner, known for her acclaimed film and television work in the mid-20th century.
  • C. Kwintsheul
    Kwintsheul is a village in the Dutch province of South Holland, known for its greenhouse horticulture and location within the Westland region.
  • D. Naaldekoker
    Naaldekoker is a notable literary work by Afrikaans poet D. J. Opperman, recognized for its contribution to modern Afrikaans poetry.
  • E. Carandini
    Carandini is an Italian noble family name historically associated with aristocracy and notable cultural figures.
  • 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_69e0b4b0373881909dd3e9387f82eab4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69b5c6f84819087d813be3542ed33 completed April 20, 2026, 9:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0893b3c77c81908aedd753ec251577 completed May 16, 2026, 3:56 p.m.
NEDg Description generation batch_6a08953618088190a9336d0ab6445c9d completed May 16, 2026, 4:03 p.m.
NED2 Entity disambiguation (via description) batch_6a0895c4a0a48190ba43d065c9766fd8 completed May 16, 2026, 4:05 p.m.
Created at: April 16, 2026, 11:34 a.m.