Triple

T6145837
Position Surface form Disambiguated ID Type / Status
Subject Morgan family E137073 entity
Predicate hasFamilyName P18 FINISHED
Object Morgan
Morgan is a common English and Welsh surname borne by numerous notable individuals and families across politics, business, the arts, and sports.
 E459318 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: [Morgan family, hasFamilyName, Morgan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Morgan
Context triple: [Morgan family, hasFamilyName, Morgan]
  • A. Morgan
    Morgan is a Chicago 'L' rapid transit station on the Near West Side serving the city's Pink and Green Lines.
  • B. Morgan
    Morgan is the middle name of the renowned English novelist and essayist E. M. Forster.
  • 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: [Morgan family, hasFamilyName, Morgan]
Generated description
Morgan is a common English and Welsh surname borne by numerous notable individuals and families across politics, business, the arts, and sports.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Morgan
Target entity description: Morgan is a common English and Welsh surname borne by numerous notable individuals and families across politics, business, the arts, and sports.
  • A. Morgan chosen
    Morgan is a common English surname borne by numerous notable individuals across fields such as science, finance, and entertainment.
  • B. 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.
  • C. Morgan
    Morgan is a given name most famously associated with acclaimed American actor and narrator Morgan Freeman.
  • D. Morgan
    Morgan is the middle name of the renowned English novelist and essayist E. M. Forster.
  • 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_69c008a2c6308190a56519b22d55d083 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05cdd2dc0819080a4adf0cead3603 completed March 22, 2026, 9:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c135fe8ae48190bfb20c335c7d32be completed March 23, 2026, 12:45 p.m.
NEDg Description generation batch_69c1371677a881908f24f990ce2da2a5 completed March 23, 2026, 12:50 p.m.
NED2 Entity disambiguation (via description) batch_69c137a10d908190a23c8be20277e803 completed March 23, 2026, 12:52 p.m.
Created at: March 22, 2026, 4:16 p.m.