Triple

T10515087
Position Surface form Disambiguated ID Type / Status
Subject The Piano E248010 entity
Predicate editedBy P1954 FINISHED
Object Veronika Jenet
Veronika Jenet is an Australian film editor best known for her acclaimed work on feature films such as "The Piano."
 E868308 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: Veronika Jenet | Statement: [The Piano, editedBy, Veronika Jenet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Veronika Jenet
Context triple: [The Piano, editedBy, Veronika Jenet]
  • A. Zita Horváth
    Zita Horváth is a Hungarian academic and university leader who serves as the rector of the University of Miskolc.
  • B. Klara Pölzl
    Klara Pölzl was the mother of Adolf Hitler, remembered primarily for her role in his early life and family background in late 19th-century Austria.
  • C. Ágnes Hranitzky
    Ágnes Hranitzky is a Hungarian film editor and co-director best known for her long-term creative collaboration with filmmaker Béla Tarr on his distinctive, slow-paced art films.
  • D. Zora Vesecká
    Zora Vesecká is a Czech individual whose given name is Zora, a common female name in Slavic countries.
  • E. Livia Klausová
    Livia Klausová is a Slovak-born Czech economist and diplomat who served as the First Lady of the Czech Republic and later as Czech ambassador to Slovakia.
  • 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: Veronika Jenet
Triple: [The Piano, editedBy, Veronika Jenet]
Generated description
Veronika Jenet is an Australian film editor best known for her acclaimed work on feature films such as "The Piano."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Veronika Jenet
Target entity description: Veronika Jenet is an Australian film editor best known for her acclaimed work on feature films such as "The Piano."
  • A. Zita Horváth
    Zita Horváth is a Hungarian academic and university leader who serves as the rector of the University of Miskolc.
  • B. Klara Pölzl
    Klara Pölzl was the mother of Adolf Hitler, remembered primarily for her role in his early life and family background in late 19th-century Austria.
  • C. Ágnes Hranitzky
    Ágnes Hranitzky is a Hungarian film editor and co-director best known for her long-term creative collaboration with filmmaker Béla Tarr on his distinctive, slow-paced art films.
  • D. Zora Vesecká
    Zora Vesecká is a Czech individual whose given name is Zora, a common female name in Slavic countries.
  • E. Livia Klausová
    Livia Klausová is a Slovak-born Czech economist and diplomat who served as the First Lady of the Czech Republic and later as Czech ambassador to Slovakia.
  • 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509cbacb08190a446c864b97823ad completed April 7, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90df141488190a2674546aa437de8 completed April 10, 2026, 2:49 p.m.
NEDg Description generation batch_69d9107dc8448190998c4044f68a775e completed April 10, 2026, 3 p.m.
NED2 Entity disambiguation (via description) batch_69d911e7d2dc8190a67b2513607fdf98 completed April 10, 2026, 3:06 p.m.
Created at: April 6, 2026, 12:27 p.m.