Triple

T20113115
Position Surface form Disambiguated ID Type / Status
Subject Vendela Vida E490383 entity
Predicate givenName P17 FINISHED
Object Vendela
Vendela is a feminine given name of Scandinavian origin, particularly common in Sweden.
E1411862 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: Vendela | Statement: [Vendela Vida, givenName, Vendela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vendela
Context triple: [Vendela Vida, givenName, Vendela]
  • A. Velda
    Velda is the loyal and resourceful secretary and love interest of private investigator Mike Hammer in the hardboiled crime novel and film "Kiss Me Deadly."
  • B. Vana
    Vana is a diminutive or nickname commonly used for the given name Silvana.
  • C. Vandjala
    Vandjala is a small village in northern Estonia located within Harku Parish in Harju County.
  • D. Viddalba
    Viddalba is a small town and comune in northern Sardinia, Italy, known for its rural setting and proximity to the Gallura region’s coastal and archaeological attractions.
  • E. Loelva
    Loelva is a river flowing through Norway’s scenic Loen valley, known for its glacial origins and striking turquoise waters.
  • 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: Vendela
Triple: [Vendela Vida, givenName, Vendela]
Generated description
Vendela is a feminine given name of Scandinavian origin, particularly common in Sweden.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vendela
Target entity description: Vendela is a feminine given name of Scandinavian origin, particularly common in Sweden.
  • A. Velda
    Velda is the loyal and resourceful secretary and love interest of private investigator Mike Hammer in the hardboiled crime novel and film "Kiss Me Deadly."
  • B. Vana
    Vana is a diminutive or nickname commonly used for the given name Silvana.
  • C. Vandjala
    Vandjala is a small village in northern Estonia located within Harku Parish in Harju County.
  • D. Viddalba
    Viddalba is a small town and comune in northern Sardinia, Italy, known for its rural setting and proximity to the Gallura region’s coastal and archaeological attractions.
  • E. Loelva
    Loelva is a river flowing through Norway’s scenic Loen valley, known for its glacial origins and striking turquoise waters.
  • 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_69da62636cc08190982cc71733a17b8d completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e666e21f908190b46c747662ff378a completed April 20, 2026, 5:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a082719f56481908143daf05e9b5362 completed May 16, 2026, 8:13 a.m.
NEDg Description generation batch_6a0829ea1a648190b9574c4398185329 completed May 16, 2026, 8:25 a.m.
NED2 Entity disambiguation (via description) batch_6a082a5093988190894006cac95b2ff8 completed May 16, 2026, 8:26 a.m.
Created at: April 11, 2026, 11:29 p.m.