Triple

T6808732
Position Surface form Disambiguated ID Type / Status
Subject Wyatt Morgan Cooper E156575 entity
Predicate middleName P143 FINISHED
Object Morgan
Morgan is a given name used for people of any gender, originating from Welsh and commonly used in English-speaking countries.
 E178785 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 | Statement: [Wyatt Morgan Cooper, middleName, Morgan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Morgan
Context triple: [Wyatt Morgan Cooper, middleName, Morgan]
  • A. Morgan
    Morgan is the middle name of the renowned English novelist and essayist E. M. Forster.
  • B. Morgan
    Morgan is a Chicago 'L' rapid transit station on the Near West Side serving the city's Pink and Green Lines.
  • C. Morgan
    Morgan is a given name most famously associated with acclaimed American actor and narrator Morgan Freeman.
  • 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 the party that successfully defended the constitutionality of a key provision of the Voting Rights Act in the landmark U.S. Supreme Court case Katzenbach v. Morgan.
  • 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
Triple: [Wyatt Morgan Cooper, middleName, Morgan]
Generated description
Morgan is a given name used for people of any gender, originating from Welsh and commonly used in English-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Morgan
Target entity description: Morgan is a given name used for people of any gender, originating from Welsh and commonly used in English-speaking countries.
  • A. Morgan
    Morgan is a common English surname borne by numerous notable individuals across fields such as science, finance, and entertainment.
  • B. Morgan chosen
    Morgan is a given name most famously associated with acclaimed American actor and narrator Morgan Freeman.
  • C. Morgan
    Morgan is the middle name of the renowned English novelist and essayist E. M. Forster.
  • D. 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.
  • E. 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.
  • 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_69c68828b26c819090fe9df7612bbc27 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d30b56c48190a5b244ea7e0c669a completed March 27, 2026, 6:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71aa5411c81908d05bef3213b39f1 completed March 28, 2026, 12:02 a.m.
NEDg Description generation batch_69c71b97125c81909f60a898d6bd4ebc completed March 28, 2026, 12:06 a.m.
NED2 Entity disambiguation (via description) batch_69c71c355b14819093909be7ee005e31 completed March 28, 2026, 12:09 a.m.
Created at: March 27, 2026, 2:16 p.m.