Triple

T16098291
Position Surface form Disambiguated ID Type / Status
Subject Don Most E390542 entity
Predicate spouse P13 FINISHED
Object Morgan Hart E390543 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: Morgan Hart | Statement: [Don Most, spouse, Morgan Hart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morgan Hart
Context triple: [Don Most, spouse, Morgan Hart]
  • A. Morgan Hart chosen
    Morgan Hart is an American actress best known for her work in television and for being married to actor Don Most.
  • B. Morgan Mason
    Morgan Mason is a British-born film producer and former political operative known for his work in the entertainment industry and his involvement in U.S. Republican politics.
  • C. Morgan Holt
    Morgan Holt is the wife of American television news anchor Stefan Holt.
  • D. Morgan Eastwood
    Morgan Eastwood is an American actress and television personality, known as one of Clint Eastwood’s younger daughters who appeared on the reality series "Mrs. Eastwood & Company."
  • E. Morgan Jones
    Morgan Jones is a central survivor and moral compass figure in the post-apocalyptic TV series Fear the Walking Dead, known for his complex journey from trauma and isolation to leadership and hope.
  • 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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1ff6551a48190afb7e0c61e22b541 completed April 17, 2026, 9:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeb9b3e708190be822f7ed588c9da completed May 10, 2026, 2:21 a.m.
Created at: April 10, 2026, 4:59 a.m.