Triple

T16800996
Position Surface form Disambiguated ID Type / Status
Subject Valentinovich E408351 entity
Predicate relatedForm P21674 FINISHED
Object Valentinovna
Valentinovna is a Russian patronymic feminine middle name derived from the male given name Valentin.
 E1232933 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: Valentinovna | Statement: [Valentinovich, relatedForm, Valentinovna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Valentinovna
Context triple: [Valentinovich, relatedForm, Valentinovna]
  • A. Vladimirovna
    Vladimirovna is a Russian female patronymic indicating that the bearer is the daughter of a man named Vladimir.
  • B. Vasilyevna
    Vasilyevna is a Russian female patronymic name indicating that the person's father is named Vasily.
  • C. Lyudmila
    Lyudmila is a Russian linguist and the former First Lady of Russia, known for being the ex-wife of President Vladimir Putin.
  • D. Lyudmila
    Lyudmila is a common Russian female given name, notably borne by figures such as Soviet World War II sniper Lyudmila Pavlichenko.
  • E. Praskovya
    Praskovya is the given name of Pasha Angelina, a renowned Soviet female tractor driver and labor heroine.
  • 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: Valentinovna
Triple: [Valentinovich, relatedForm, Valentinovna]
Generated description
Valentinovna is a Russian patronymic feminine middle name derived from the male given name Valentin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Valentinovna
Target entity description: Valentinovna is a Russian patronymic feminine middle name derived from the male given name Valentin.
  • A. Vladimirovna
    Vladimirovna is a Russian female patronymic indicating that the bearer is the daughter of a man named Vladimir.
  • B. Vasilyevna
    Vasilyevna is a Russian female patronymic name indicating that the person's father is named Vasily.
  • C. Lyudmila
    Lyudmila is a Russian linguist and the former First Lady of Russia, known for being the ex-wife of President Vladimir Putin.
  • D. Lyudmila
    Lyudmila is a common Russian female given name, notably borne by figures such as Soviet World War II sniper Lyudmila Pavlichenko.
  • E. Praskovya
    Praskovya is the given name of Pasha Angelina, a renowned Soviet female tractor driver and labor heroine.
  • 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2c826808190aa0a5bfcde2e49a8 completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00ab1598dc81909fa5118e739a3291 completed May 10, 2026, 3:58 p.m.
NEDg Description generation batch_6a00ab7a9b448190bdaf460bbe5f8c2b completed May 10, 2026, 3:59 p.m.
NED2 Entity disambiguation (via description) batch_6a00abf09fe4819082ee0c6c6f702822 completed May 10, 2026, 4:01 p.m.
Created at: April 10, 2026, 5:22 a.m.