Triple

T2569181
Position Surface form Disambiguated ID Type / Status
Subject John Venn E57623 entity
Predicate familyName P18 FINISHED
Object Venn
Venn is an English surname most famously associated with logician John Venn, after whom Venn diagrams are named.
 E279474 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: Venn | Statement: [John Venn, familyName, Venn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Venn
Context triple: [John Venn, familyName, Venn]
  • A. Vé
    Vé is a Norse god, one of Odin’s brothers, associated with the creation of the world in Norse mythology.
  • B. VEN
    VEN is the three-letter ISO 3166-1 alpha-3 country code assigned to Venezuela for international identification and data standards.
  • C. V.
    V. is Thomas Pynchon's 1963 debut novel, a complex, postmodern work that interweaves multiple narratives and historical periods in a quest surrounding the mysterious figure or concept known only as "V."
  • D. VEKU
    VEKU is the ICAO airport code assigned to Silchar Airport in Assam, India.
  • E. The Vine
    The Vine is a public transit service brand used by C-TRAN for its bus and related transportation services in the Vancouver, Washington area.
  • 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: Venn
Triple: [John Venn, familyName, Venn]
Generated description
Venn is an English surname most famously associated with logician John Venn, after whom Venn diagrams are named.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Venn
Target entity description: Venn is an English surname most famously associated with logician John Venn, after whom Venn diagrams are named.
  • A. Vé
    Vé is a Norse god, one of Odin’s brothers, associated with the creation of the world in Norse mythology.
  • B. VEN
    VEN is the three-letter ISO 3166-1 alpha-3 country code assigned to Venezuela for international identification and data standards.
  • C. V.
    V. is Thomas Pynchon's 1963 debut novel, a complex, postmodern work that interweaves multiple narratives and historical periods in a quest surrounding the mysterious figure or concept known only as "V."
  • D. VEKU
    VEKU is the ICAO airport code assigned to Silchar Airport in Assam, India.
  • E. The Vine
    The Vine is a public transit service brand used by C-TRAN for its bus and related transportation services in the Vancouver, Washington area.
  • 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_69ab4a51410081908501dcf8bad9adc4 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd380d6e081909c124e8a0b7feef3 completed March 7, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69af6569e38881908d1492277fe0c60c completed March 10, 2026, 12:27 a.m.
NEDg Description generation batch_69af67330d4c8190945b6ce8d20546ab completed March 10, 2026, 12:34 a.m.
NED2 Entity disambiguation (via description) batch_69af68c5ad9c8190bc5ef698963685b2 completed March 10, 2026, 12:41 a.m.
Created at: March 6, 2026, 9:48 p.m.