Triple

T17934271
Position Surface form Disambiguated ID Type / Status
Subject Crocker family art collection E448411 entity
Predicate associatedWithPerson P37 FINISHED
Object Margaret Crocker NE NERFINISHED

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: Margaret Crocker | Statement: [Crocker family art collection, associatedWithPerson, Margaret Crocker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margaret Crocker
Context triple: [Crocker family art collection, associatedWithPerson, Margaret Crocker]
  • A. Margaret Crocker chosen
    Margaret Crocker was a 19th-century Sacramento philanthropist best known for donating her late husband's extensive art collection and endowing what became the Crocker Art Museum.
  • B. Patricia Crocker
    Patricia Crocker is a notable individual recognized as a prominent bearer of the Crocker surname.
  • C. Margaret Cox
    Margaret Cox is known as the daughter of British physicist and science communicator Brian Cox.
  • D. Marjorie Weaver
    Marjorie Weaver was an American film actress of the 1930s and 1940s, known for her roles in Hollywood studio productions including several notable dramas and comedies.
  • E. Marjorie Fowler
    Marjorie Fowler was an American film editor known for her work on numerous Hollywood productions from the 1950s through the 1970s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f79d14819095540856928f0e25 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a5547b7881909dc41bb7dd34194f completed April 19, 2026, 9:50 a.m.
Created at: April 10, 2026, 10:21 a.m.