Triple

T1595586
Position Surface form Disambiguated ID Type / Status
Subject Frances Anne Emily Vane E34274 entity
Predicate familyName P18 FINISHED
Object Vane
Vane is an English surname historically associated with several notable aristocratic and political families in Britain.
 E180850 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: Vane | Statement: [Frances Anne Emily Vane, familyName, Vane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vane
Context triple: [Frances Anne Emily Vane, familyName, Vane]
  • A. Gorgophone
    Gorgophone is a figure in Greek mythology, traditionally known as a daughter of Perseus and Andromeda and noted as one of the first women to remarry after being widowed.
  • B. Ventilago
    Ventilago is a genus of flowering plants, often woody climbers, belonging to the buckthorn family Rhamnaceae and found mainly in tropical and subtropical regions.
  • C. Blatch
    Blatch is the surname of Nora Stanton Blatch, an early 20th-century American civil engineer, suffragist, and women's rights activist.
  • D. Blisk
    Blisk is a fictional setting or universe in which the character or concept known as Blink appears or is utilized.
  • E. Haynrode
    Haynrode is a small village in the German state of Thuringia.
  • 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: Vane
Triple: [Frances Anne Emily Vane, familyName, Vane]
Generated description
Vane is an English surname historically associated with several notable aristocratic and political families in Britain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vane
Target entity description: Vane is an English surname historically associated with several notable aristocratic and political families in Britain.
  • A. Gorgophone
    Gorgophone is a figure in Greek mythology, traditionally known as a daughter of Perseus and Andromeda and noted as one of the first women to remarry after being widowed.
  • B. Ventilago
    Ventilago is a genus of flowering plants, often woody climbers, belonging to the buckthorn family Rhamnaceae and found mainly in tropical and subtropical regions.
  • C. Blatch
    Blatch is the surname of Nora Stanton Blatch, an early 20th-century American civil engineer, suffragist, and women's rights activist.
  • D. Blisk
    Blisk is a fictional setting or universe in which the character or concept known as Blink appears or is utilized.
  • E. Haynrode
    Haynrode is a small village in the German state of Thuringia.
  • 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_69a885fdcb9c819081ce6f0b8cd477dd completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9092ccb388190b2f3ed86b3853651 completed March 5, 2026, 4:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad46a595488190a73cfa867595b568 completed March 8, 2026, 9:51 a.m.
NEDg Description generation batch_69ad47fde094819093f7f1240b7bd520 completed March 8, 2026, 9:57 a.m.
NED2 Entity disambiguation (via description) batch_69ad48550d4c8190bdaa68de5ba1b321 completed March 8, 2026, 9:58 a.m.
Created at: March 4, 2026, 7:27 p.m.