Triple

T12758611
Position Surface form Disambiguated ID Type / Status
Subject Jasper Francis Cropsey E304925 entity
Predicate spouse P13 FINISHED
Object Maria Cooley E304925 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: Maria Cooley | Statement: [Jasper Francis Cropsey, spouse, Maria Cooley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maria Cooley
Context triple: [Jasper Francis Cropsey, spouse, Maria Cooley]
  • A. Maria Cooley chosen
    Maria Cooley was the wife of American landscape painter Jasper Francis Cropsey, a prominent figure of the Hudson River School.
  • B. Mayme Kelso
    Mayme Kelso was an American actress of the silent film era, known for her character roles in early 20th-century cinema.
  • C. Della Mae Jones
    Della Mae Jones was the woman who married Robert Stroud, the infamous "Birdman of Alcatraz," during his imprisonment.
  • D. Elsie Driggs
    Elsie Driggs was an American painter associated with the Precisionist movement, known for her stylized depictions of industrial and urban landscapes.
  • E. Marie Tillman
    Marie Tillman is an American philanthropist and founder of the Pat Tillman Foundation, established to honor the legacy of her late husband, NFL player and Army Ranger Pat Tillman, by supporting military veterans and their families through educational scholarships.
  • 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96d8d3eb08190ae998df5cc6d9ba6 completed April 10, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd646ee860819083277b15aaf510fd completed May 8, 2026, 4:19 a.m.
Created at: April 9, 2026, 5:27 p.m.