Triple

T2546613
Position Surface form Disambiguated ID Type / Status
Subject Kitty Foyle E57916 entity
Predicate starred P5563 FINISHED
Object Eduardo Ciannelli E157175 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: Eduardo Ciannelli | Statement: [Kitty Foyle, starred, Eduardo Ciannelli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eduardo Ciannelli
Context triple: [Kitty Foyle, starred, Eduardo Ciannelli]
  • A. Eduardo Ciannelli chosen
    Eduardo Ciannelli was an Italian-American character actor and opera singer known for his intense screen presence and frequent portrayals of villains in classic Hollywood films.
  • B. Paulo Costanzo
    Paulo Costanzo is a Canadian actor best known for his roles in films like "Road Trip" and TV series such as "Royal Pains" and "Joey."
  • C. Sergio Chiamparino
    Sergio Chiamparino is an Italian politician best known for serving as Mayor of Turin and President of the Piedmont region.
  • D. Marcelo Roberto
    Marcelo Roberto was a prominent Brazilian architect and alumnus of the Escola Nacional de Belas Artes, known for his influential modernist works in the mid-20th century.
  • E. Claudio Fogolin
    Claudio Fogolin was an Italian entrepreneur and automotive pioneer best known as one of the founders behind the historic car manufacturer Lancia.
  • 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_69ab4a5212d88190b989ce129f2ad87f completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd2e5152c8190b31a5e732d0dde44 completed March 7, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69af655a0f088190a7ac30c6df1fdff6 completed March 10, 2026, 12:27 a.m.
Created at: March 6, 2026, 9:47 p.m.