Triple

T21436961
Position Surface form Disambiguated ID Type / Status
Subject Lee Morgan E528838 entity
Predicate familyName P18 FINISHED
Object Morgan
Morgan is a common English and Welsh surname borne by numerous notable figures across fields such as music, politics, business, and literature.
 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: [Lee Morgan, familyName, Morgan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Morgan
Context triple: [Lee Morgan, familyName, 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 used by the American documentary filmmaker Morgan Neville.
  • D. Morgan
    Morgan is a prominent law firm that forms part of the larger legal practice Lloyd, Morgan & Jones.
  • E. Morgan
    Morgan is the central protagonist of the novel "The Big House," around whom the story’s main events and character dynamics revolve.
  • 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: [Lee Morgan, familyName, Morgan]
Generated description
Morgan is a common English and Welsh surname borne by numerous notable figures across fields such as music, politics, business, and literature.
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 figures across fields such as music, politics, business, and literature.
  • 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 common Welsh surname with deep cultural and historical roots in Wales and among people of Welsh descent.
  • C. Morgan
    Morgan is a given name most famously associated with acclaimed American actor and narrator Morgan Freeman.
  • 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 the middle name of the renowned English novelist and essayist E. M. Forster.
  • 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_69e0c4569fa081908101baa24f8745db completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b537f39081909220577618657805 completed April 22, 2026, 11:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09c8fd41d08190a28e5efa6880b879 completed May 17, 2026, 1:56 p.m.
NEDg Description generation batch_6a09c97c16c88190ba27f2431fb8d8d3 completed May 17, 2026, 1:58 p.m.
NED2 Entity disambiguation (via description) batch_6a09ca639d74819094f368d15c1e7a1a completed May 17, 2026, 2:02 p.m.
Created at: April 16, 2026, 6:03 p.m.