Triple

T13550090
Position Surface form Disambiguated ID Type / Status
Subject Veronica Rawlings E323618 entity
Predicate formsGroupWith P16559 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: [Veronica Rawlings, formsGroupWith, Linda Perelli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Linda Perelli
Context triple: [Veronica Rawlings, formsGroupWith, 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 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.
  • C. Deanna Piatelli
    Deanna Piatelli is known as the spouse of Jack Dempsey.
  • D. 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.
  • E. Nancy Perron
    Nancy Perron is known as one of the Perron children whose family’s alleged haunting in the 1970s inspired the events depicted in the horror film “The Conjuring.”
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafdcecf481909999a173b32a58cd completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce5ecad88190b7c8236969d9abc7 completed May 3, 2026, 10:38 p.m.
Created at: April 9, 2026, 9:46 p.m.