Triple

T21713123
Position Surface form Disambiguated ID Type / Status
Subject Morgan Philip E535953 entity
Predicate portrayedBy P1507 FINISHED
Object Gabriella Baldacchino 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: Gabriella Baldacchino | Statement: [Morgan Philip, portrayedBy, Gabriella Baldacchino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gabriella Baldacchino
Context triple: [Morgan Philip, portrayedBy, Gabriella Baldacchino]
  • A. Gabriella Baldacchino chosen
    Gabriella Baldacchino is an American actress best known for playing Morgan Philip in Disney’s fantasy musical film "Disenchanted."
  • B. Gabriella Giacobbe
    Gabriella Giacobbe was an Italian actress known for her work in mid-20th-century Italian cinema and theater.
  • C. Gabriella Pescucci
    Gabriella Pescucci is an Italian costume designer renowned for her elaborate period costumes in film and television, including her Academy Award-winning work on "The Age of Innocence."
  • D. Gabriella Cristiani
    Gabriella Cristiani is an Italian film editor best known for her Academy Award–winning work on Bernardo Bertolucci’s epic film "The Last Emperor."
  • E. Gabriella Martinelli
    Gabriella Martinelli is a Canadian film and television producer best known for her work on high-profile projects such as Baz Luhrmann’s "Romeo + Juliet."
  • 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_69e0c46c6dd88190a595375fa6ebd701 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69efb53573a08190ad73576d27e8094f completed April 27, 2026, 7:12 p.m.
Created at: April 16, 2026, 6:47 p.m.