Triple

T17773893
Position Surface form Disambiguated ID Type / Status
Subject Najden Gerov E443712 entity
Predicate familyName P18 FINISHED
Object Gerov
Gerov is a Bulgarian surname most notably associated with figures such as the 19th-century educator and lexicographer Nayden Gerov.
 E1286514 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: Gerov | Statement: [Najden Gerov, familyName, Gerov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gerov
Context triple: [Najden Gerov, familyName, Gerov]
  • A. Gero
    Gero is a Japanese hot spring resort city in Gifu Prefecture, renowned for its historic onsen baths and scenic mountain surroundings.
  • B. Ger
    Ger is a prominent Hasidic dynasty, originating in Góra Kalwaria, Poland, known for its large following and significant influence within the Haredi Jewish world.
  • C. Gromovo
    Gromovo is a rural locality in Russia’s Leningrad Oblast, situated within the Priozersky District near the Karelian Isthmus.
  • D. Gery
    Gery is a spelling variant of the given name Gerry, typically used as a personal name.
  • E. Govedartsi
    Govedartsi is a mountain village in southwestern Bulgaria, known as a base for hiking and skiing in the Rila Mountains.
  • 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: Gerov
Triple: [Najden Gerov, familyName, Gerov]
Generated description
Gerov is a Bulgarian surname most notably associated with figures such as the 19th-century educator and lexicographer Nayden Gerov.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gerov
Target entity description: Gerov is a Bulgarian surname most notably associated with figures such as the 19th-century educator and lexicographer Nayden Gerov.
  • A. Gero
    Gero is a Japanese hot spring resort city in Gifu Prefecture, renowned for its historic onsen baths and scenic mountain surroundings.
  • B. Ger
    Ger is a prominent Hasidic dynasty, originating in Góra Kalwaria, Poland, known for its large following and significant influence within the Haredi Jewish world.
  • C. Gromovo
    Gromovo is a rural locality in Russia’s Leningrad Oblast, situated within the Priozersky District near the Karelian Isthmus.
  • D. Gery
    Gery is a spelling variant of the given name Gerry, typically used as a personal name.
  • E. Govedartsi
    Govedartsi is a mountain village in southwestern Bulgaria, known as a base for hiking and skiing in the Rila Mountains.
  • 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_69d8b9ef17708190bdf7e2adbf14ddc2 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4871af4248190aed2b3bd42433771 completed April 19, 2026, 7:41 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02efc7a3388190bc13861033cb04f3 completed May 12, 2026, 9:15 a.m.
NEDg Description generation batch_6a02f08892e08190a75c4e523366feda completed May 12, 2026, 9:19 a.m.
NED2 Entity disambiguation (via description) batch_6a02f18036788190ad1a2893fd104261 completed May 12, 2026, 9:23 a.m.
Created at: April 10, 2026, 10:12 a.m.