Triple

T12768891
Position Surface form Disambiguated ID Type / Status
Subject Morgan E305194 entity
Predicate character P662 FINISHED
Object Morgan (character)
Morgan (character) is a fictional persona named Morgan who appears within a narrative work such as a book, film, television series, or game.
 E1005431 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 (character) | Statement: [Morgan, character, Morgan (character)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Morgan (character)
Context triple: [Morgan, character, Morgan (character)]
  • 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 common English surname borne by numerous notable individuals across fields such as science, finance, and entertainment.
  • D. Morgan
    Morgan is a given name used by the American documentary filmmaker Morgan Neville.
  • E. Morgan
    Morgan is a prominent law firm that forms part of the larger legal practice Lloyd, Morgan & Jones.
  • 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 (character)
Triple: [Morgan, character, Morgan (character)]
Generated description
Morgan (character) is a fictional persona named Morgan who appears within a narrative work such as a book, film, television series, or game.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Morgan (character)
Target entity description: Morgan (character) is a fictional persona named Morgan who appears within a narrative work such as a book, film, television series, or game.
  • 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 given name used by the American documentary filmmaker Morgan Neville.
  • 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_69d7bdf2b43c819098ae5aa68e61ea58 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96df3b2f88190b37b696400178795 completed April 10, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68eb7e8448190a097d40ed8927285 completed May 2, 2026, 11:54 p.m.
NEDg Description generation batch_69f6902f138c8190a94a01c1fbb30b57 completed May 3, 2026, midnight
NED2 Entity disambiguation (via description) batch_69f69138b40881909e9c74d6d922e1f3 completed May 3, 2026, 12:05 a.m.
Created at: April 9, 2026, 5:28 p.m.