Triple

T8453243
Position Surface form Disambiguated ID Type / Status
Subject Carolina Panthers E199851 entity
Predicate generalManager P537 FINISHED
Object Dan Morgan E227548 NE FINISHED

How this triple was built (2 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: [Carolina Panthers, generalManager, Dan Morgan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dan Morgan
Context triple: [Carolina Panthers, generalManager, Dan Morgan]
  • 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. 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.
  • D. 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.
  • E. William Ragsdale
    William Ragsdale is an American actor best known for his lead role in the 1985 horror-comedy film "Fright Night" and its sequel.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca8318231881908fd1bc1c4d45d286 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe48aee388190864ef1186d5ee419 completed March 31, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1dda289c81908e0cc8e1a504caa1 completed April 2, 2026, 7:42 a.m.
Created at: March 30, 2026, 6:09 p.m.