Triple

T7560662
Position Surface form Disambiguated ID Type / Status
Subject Morgan E178785 entity
Predicate isAssociatedWith P2830 FINISHED
Object Morgan (given name)
Morgan is a unisex given name of Welsh origin, commonly used in English-speaking countries.
 E675270 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: Morgan (given name) | Statement: [Morgan, isAssociatedWith, Morgan (given name)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Morgan (given name)
Context triple: [Morgan, isAssociatedWith, Morgan (given name)]
  • A. Morgan
    Morgan is the middle name of the renowned English novelist and essayist E. M. Forster.
  • B. Morgan
    Morgan is a common English surname borne by numerous notable individuals across fields such as science, finance, and entertainment.
  • C. Morgan
    Morgan is the second-generation core design used in AMD's Duron processors, featuring improvements in performance and efficiency over the original Spitfire core.
  • D. Morgan
    Morgan is a 2016 science fiction horror film about a genetically engineered human hybrid whose violent behavior leads to a crisis among the scientists who created her.
  • E. Morgan
    Morgan is a residential neighborhood within the borough of Sayreville in Middlesex County, New Jersey.
  • 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: Morgan (given name)
Triple: [Morgan, isAssociatedWith, Morgan (given name)]
Generated description
Morgan is a unisex given name of Welsh origin, commonly used in English-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Morgan (given name)
Target entity description: Morgan is a unisex given name of Welsh origin, commonly used in English-speaking countries.
  • A. Morgan
    Morgan is the middle name of the renowned English novelist and essayist E. M. Forster.
  • B. Morgan
    Morgan is a common English surname borne by numerous notable individuals across fields such as science, finance, and entertainment.
  • C. Morgan
    Morgan is the second-generation core design used in AMD's Duron processors, featuring improvements in performance and efficiency over the original Spitfire core.
  • D. Morgan
    Morgan is a residential neighborhood within the borough of Sayreville in Middlesex County, New Jersey.
  • E. Morgan
    Morgan is a prominent American banking and finance family name most famously associated with financier J. P. Morgan and the powerful House of Morgan banking dynasty.
  • 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_69c69f2f80288190b95cceb4da92ab2b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8dd96488190b4cca25ae8f7f95c completed March 27, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c861579b048190a67f33cb87791e8b completed March 28, 2026, 11:16 p.m.
NEDg Description generation batch_69c862b3cb3881908e6ecfa9bae7d044 completed March 28, 2026, 11:22 p.m.
NED2 Entity disambiguation (via description) batch_69c86358a60c81909d7b313a72ba3130 completed March 28, 2026, 11:25 p.m.
Created at: March 27, 2026, 3:50 p.m.