Triple

T9437470
Position Surface form Disambiguated ID Type / Status
Subject Dan Morgan E227548 entity
Predicate name P16 FINISHED
Object Dan Morgan
Dan Morgan is a common personal name shared by multiple individuals, including historical figures, athletes, and public personalities.
 E227548 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: Dan Morgan | Statement: [Dan Morgan, name, Dan Morgan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dan Morgan
Context triple: [Dan Morgan, name, Dan Morgan]
  • A. Dan Morgan
    Dan Morgan is a former NFL linebacker who became a football executive and now serves as the general manager of the Carolina Panthers.
  • B. Morgan Bulkeley
    Morgan Bulkeley was an American politician and businessman who served as the first president of the National League in baseball and later as governor of Connecticut and a U.S. senator.
  • C. Christian Clemenson
    Christian Clemenson is an American actor best known for his Emmy-winning role on "Boston Legal" and numerous character roles in film and television.
  • D. William D. Moseley
    William D. Moseley was an American politician who became the first governor of the U.S. state of Florida after it achieved statehood in 1845.
  • E. Robert Drew Morgan
    Robert Drew Morgan was an American stuntman and actor best known for his long career in Hollywood and his marriage to actress Yvonne De Carlo.
  • 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: Dan Morgan
Triple: [Dan Morgan, name, Dan Morgan]
Generated description
Dan Morgan is a common personal name shared by multiple individuals, including historical figures, athletes, and public personalities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dan Morgan
Target entity description: Dan Morgan is a common personal name shared by multiple individuals, including historical figures, athletes, and public personalities.
  • A. Dan Morgan chosen
    Dan Morgan is a former NFL linebacker who became a football executive and now serves as the general manager of the Carolina Panthers.
  • B. Morgan Bulkeley
    Morgan Bulkeley was an American politician and businessman who served as the first president of the National League in baseball and later as governor of Connecticut and a U.S. senator.
  • C. Christian Clemenson
    Christian Clemenson is an American actor best known for his Emmy-winning role on "Boston Legal" and numerous character roles in film and television.
  • D. William D. Moseley
    William D. Moseley was an American politician who became the first governor of the U.S. state of Florida after it achieved statehood in 1845.
  • E. Robert Drew Morgan
    Robert Drew Morgan was an American stuntman and actor best known for his long career in Hollywood and his marriage to actress Yvonne De Carlo.
  • 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_69ca8437a7ac81908651de48f2d2141d completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7edff5e881909b72976e8909ba4b completed April 1, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1225345488190a1fee54f6feb321d completed April 4, 2026, 2:38 p.m.
NEDg Description generation batch_69d1236ca6808190843f5723b5187992 completed April 4, 2026, 2:42 p.m.
NED2 Entity disambiguation (via description) batch_69d123e548e88190a85c8b3822879b72 completed April 4, 2026, 2:44 p.m.
Created at: March 30, 2026, 7:50 p.m.