Triple

T750034
Position Surface form Disambiguated ID Type / Status
Subject Charles Eliot Norton E15426 entity
Predicate familyName P18 FINISHED
Object Norton
Norton is a surname of English origin borne by numerous notable individuals across fields such as literature, politics, and the arts.
 E89028 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: Norton | Statement: [Charles Eliot Norton, familyName, Norton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Norton
Context triple: [Charles Eliot Norton, familyName, Norton]
  • A. Norton
    Norton is a residential suburb within the town of Runcorn in Cheshire, England.
  • B. Comodo Dragon
    Comodo Dragon is a Chromium-based web browser developed by Comodo that emphasizes enhanced security and privacy features compared to standard browsers.
  • C. Over Norton
    Over Norton is a small rural village in Oxfordshire, England, situated near the market town of Chipping Norton.
  • D. AVG
    AVG refers to the American Volunteer Group, the World War II unit of volunteer U.S. pilots famously known as the Flying Tigers who flew for China against Japan before America’s official entry into the war.
  • E. Micros Systems
    Micros Systems was a leading provider of point-of-sale and hospitality management software and hardware solutions for restaurants, hotels, and retail businesses.
  • 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: Norton
Triple: [Charles Eliot Norton, familyName, Norton]
Generated description
Norton is a surname of English origin borne by numerous notable individuals across fields such as literature, politics, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Norton
Target entity description: Norton is a surname of English origin borne by numerous notable individuals across fields such as literature, politics, and the arts.
  • A. Norton
    Norton is a residential suburb within the town of Runcorn in Cheshire, England.
  • B. Comodo Dragon
    Comodo Dragon is a Chromium-based web browser developed by Comodo that emphasizes enhanced security and privacy features compared to standard browsers.
  • C. Over Norton
    Over Norton is a small rural village in Oxfordshire, England, situated near the market town of Chipping Norton.
  • D. AVG
    AVG refers to the American Volunteer Group, the World War II unit of volunteer U.S. pilots famously known as the Flying Tigers who flew for China against Japan before America’s official entry into the war.
  • E. Micros Systems
    Micros Systems was a leading provider of point-of-sale and hospitality management software and hardware solutions for restaurants, hotels, and retail businesses.
  • 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_69a493599a0081908da65f3407af1ef2 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a6304e0c8190827fb57c5cac2da9 completed March 1, 2026, 8:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69a654e8d80481908505896fb6ead36b completed March 3, 2026, 3:26 a.m.
NEDg Description generation batch_69a655c79044819098e36081b754c9be completed March 3, 2026, 3:30 a.m.
NED2 Entity disambiguation (via description) batch_69a65638cd5881908b421d9d8a90291b completed March 3, 2026, 3:32 a.m.
Created at: March 1, 2026, 7:37 p.m.