Triple

T13567039
Position Surface form Disambiguated ID Type / Status
Subject Harry Rawlings E324063 entity
Predicate associatedWith P37 FINISHED
Object Linda Perelli E331900 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: Linda Perelli | Statement: [Harry Rawlings, associatedWith, Linda Perelli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Linda Perelli
Context triple: [Harry Rawlings, associatedWith, Linda Perelli]
  • A. Linda Perelli chosen
    Linda Perelli is one of the central widows in the 2018 heist thriller "Widows," whose involvement in a dangerous criminal scheme drives much of the film’s emotional and narrative tension.
  • B. Linda Perelli
    Linda Perelli is an actress known for her ensemble work, including appearing alongside the character Belle.
  • C. Linda Giuva
    Linda Giuva is an Italian archivist and academic known for her work in archival science and for being married to former Italian Prime Minister Massimo D'Alema.
  • D. Deanna Piatelli
    Deanna Piatelli is known as the spouse of Jack Dempsey.
  • E. Joanne Minardi
    Joanne Minardi is the longtime wife of basketball coach Rick Pitino, known for her involvement in charitable and community activities connected to his coaching career.
  • 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb00e0188819094fde44f85adb69c completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdeea935081909baffaadc8a8fac7 completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 9:48 p.m.