Triple

T8595065
Position Surface form Disambiguated ID Type / Status
Subject Michael Manfredi E203523 entity
Predicate spouse P13 FINISHED
Object Marion Weiss E258425 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: Marion Weiss | Statement: [Michael Manfredi, spouse, Marion Weiss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marion Weiss
Context triple: [Michael Manfredi, spouse, Marion Weiss]
  • A. Marion Weiss chosen
    Marion Weiss is an American architect and co-founder of the firm Weiss/Manfredi, known for her innovative, landscape-integrated public and cultural projects.
  • B. Marion Rothman
    Marion Rothman was an American film editor known for her work on notable films of the 1960s and 1970s, including the crime thriller "The Boston Strangler."
  • C. Edie Wasserman
    Edie Wasserman was a prominent Hollywood philanthropist and influential figure in the entertainment community, known for her extensive charitable work and social leadership.
  • D. Minnie Weisz
    Minnie Weisz is a British visual artist and photographer known for her atmospheric “camera obscura” works and for being the younger sister of actress Rachel Weisz.
  • E. Lillian Roth
    Lillian Roth was an American singer and stage and screen actress known for her early success in Hollywood musicals and her later public struggle with alcoholism and recovery.
  • 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_69ca832a7f108190b4e4f5648abf4aa2 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46c76fd48190ae67b660c5b8e29f completed March 31, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfdb759f6c819085939e38e0281361 completed April 3, 2026, 3:23 p.m.
Created at: March 30, 2026, 6:23 p.m.