Triple

T7850210
Position Surface form Disambiguated ID Type / Status
Subject Valerie Jarrett E182028 entity
Predicate spouse P13 FINISHED
Object William Jarrett E182028 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: William Jarrett | Statement: [Valerie Jarrett, spouse, William Jarrett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Jarrett
Context triple: [Valerie Jarrett, spouse, William Jarrett]
  • A. William Jarrett chosen
    William Jarrett was an American physician and the late husband of former senior presidential advisor Valerie Jarrett.
  • B. William Eldridge
    William Eldridge is a person notable enough to be recognized as a primary bearer of the surname Eldridge, though specific widely known achievements or roles are not clearly established.
  • C. Joseph Wightman
    Joseph Wightman was a British Army officer best known for commanding government forces against the Jacobites during the early 18th-century uprisings.
  • D. George Jenkins
    George Jenkins was an American production designer and art director best known for his Academy Award–winning work on influential films of the 1960s and 1970s.
  • 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_69ca82869ee08190b8f9040dbc2c0467 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb18e989ac819090e459b77d8932d3 completed March 31, 2026, 12:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbda1033c819088372a46a74c575d completed April 1, 2026, 6:39 a.m.
Created at: March 30, 2026, 4:50 p.m.