Triple

T17332087
Position Surface form Disambiguated ID Type / Status
Subject Fred Wilson E420840 entity
Predicate writesBlogAt P56251 FINISHED
Object AVC.com
AVC.com is the long-running personal blog of venture capitalist Fred Wilson, where he shares insights on startups, investing, and the tech industry.
 E1262839 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: AVC.com | Statement: [Fred Wilson, writesBlogAt, AVC.com]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AVC.com
Context triple: [Fred Wilson, writesBlogAt, AVC.com]
  • A. AVC
    AVC is the U.S. State Department bureau responsible for overseeing arms control, nonproliferation, and verification and compliance with related international agreements.
  • B. AVS
    AVS is a professional society focused on advancing the science and technology of materials, interfaces, and processing through research, education, and collaboration.
  • C. ÁVH
    ÁVH was the secret police and state security organization of communist Hungary, notorious for its role in political repression and surveillance during the early Cold War era.
  • D. AVP
    AVP is the three-letter IATA airport code for Wilkes-Barre/Scranton International Airport in Pennsylvania, USA.
  • E. AV
    AV is the two-letter IATA airline designator assigned to Avianca, the flag carrier of Colombia and one of Latin America’s largest airlines.
  • 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: AVC.com
Triple: [Fred Wilson, writesBlogAt, AVC.com]
Generated description
AVC.com is the long-running personal blog of venture capitalist Fred Wilson, where he shares insights on startups, investing, and the tech industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AVC.com
Target entity description: AVC.com is the long-running personal blog of venture capitalist Fred Wilson, where he shares insights on startups, investing, and the tech industry.
  • A. AVC
    AVC is the U.S. State Department bureau responsible for overseeing arms control, nonproliferation, and verification and compliance with related international agreements.
  • B. AVS
    AVS is a professional society focused on advancing the science and technology of materials, interfaces, and processing through research, education, and collaboration.
  • C. ÁVH
    ÁVH was the secret police and state security organization of communist Hungary, notorious for its role in political repression and surveillance during the early Cold War era.
  • D. AVP
    AVP is the three-letter IATA airport code for Wilkes-Barre/Scranton International Airport in Pennsylvania, USA.
  • E. AV
    AV is the two-letter IATA airline designator assigned to Avianca, the flag carrier of Colombia and one of Latin America’s largest airlines.
  • 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_69d889d3adc881909319f1edb8d2a956 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e439d6870c8190989897aa6beba8ff completed April 19, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_6a018c5025d08190ab2581a3b04ae661 completed May 11, 2026, 7:59 a.m.
NEDg Description generation batch_6a018e85c91081909a6944ff136e8f50 completed May 11, 2026, 8:08 a.m.
NED2 Entity disambiguation (via description) batch_6a018f7ebf548190b407ebeacbd4d327 completed May 11, 2026, 8:12 a.m.
Created at: April 10, 2026, 5:43 a.m.