Triple

T9425702
Position Surface form Disambiguated ID Type / Status
Subject Morris Day E227258 entity
Predicate givenName P17 FINISHED
Object Morris
Morris is a masculine given name of English origin, historically derived from the Latin name Mauritius and commonly used in English-speaking countries.
 E133476 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: Morris | Statement: [Morris Day, givenName, Morris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Morris
Context triple: [Morris Day, givenName, Morris]
  • A. Morris
    Morris is the given first name of Moe Berg, the American Major League Baseball catcher who later became a World War II intelligence officer.
  • B. Morris
    Morris is a common English-language surname borne by numerous notable figures in politics, arts, sports, and other fields.
  • C. Morris
    Morris is a historic British automobile marque best known for popular mass-market cars produced throughout the 20th century.
  • D. Morris
    Morris was a Belgian cartoonist best known as the co-creator and artist of the popular Western comic series "Lucky Luke."
  • E. Swinton
    Swinton is a small rural village in the historic county of Berwickshire in the Scottish Borders region of Scotland.
  • 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: Morris
Triple: [Morris Day, givenName, Morris]
Generated description
Morris is a masculine given name of English origin, historically derived from the Latin name Mauritius and commonly used in English-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Morris
Target entity description: Morris is a masculine given name of English origin, historically derived from the Latin name Mauritius and commonly used in English-speaking countries.
  • A. Morris chosen
    Morris is the given first name of Moe Berg, the American Major League Baseball catcher who later became a World War II intelligence officer.
  • B. Morris
    Morris is a common English-language surname borne by numerous notable figures in politics, arts, sports, and other fields.
  • C. Morris
    Morris was a Belgian cartoonist best known as the co-creator and artist of the popular Western comic series "Lucky Luke."
  • D. Morris
    Morris is a historic British automobile marque best known for popular mass-market cars produced throughout the 20th century.
  • E. Swinton
    Swinton is a small rural village in the historic county of Berwickshire in the Scottish Borders region of Scotland.
  • F. None of above.

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_69ca8436ba308190903e470776d2d893 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7c8f59dc8190854dfc0d287731c6 completed April 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d107da6aa88190a015ee4a6eea2a4a completed April 4, 2026, 12:45 p.m.
NEDg Description generation batch_69d1087d01b08190aa4d17241244c26c completed April 4, 2026, 12:47 p.m.
NED2 Entity disambiguation (via description) batch_69d109042fec819087371150d2c2cf87 completed April 4, 2026, 12:50 p.m.
Created at: March 30, 2026, 7:49 p.m.