Triple

T17332012
Position Surface form Disambiguated ID Type / Status
Subject Raffaella De Laurentiis E420838 entity
Predicate givenName P17 FINISHED
Object Raffaella E1245298 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: Raffaella | Statement: [Raffaella De Laurentiis, givenName, Raffaella]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raffaella
Context triple: [Raffaella De Laurentiis, givenName, Raffaella]
  • A. Raffaella chosen
    Raffaella is an Italian given name, often associated with women in Italian arts and cinema, including members of the Rossellini family.
  • B. Gloria Tribbiani
    Gloria Tribbiani is Joey Tribbiani’s overbearing and emotional mother on the television sitcom "Friends."
  • C. Renata Linguini
    Renata Linguini is a supporting character in Pixar's film "Ratatouille," known as the tough, no-nonsense mother of Alfredo Linguini.
  • D. Carmella DeCesare
    Carmella DeCesare is an American model and former Playboy Playmate who gained prominence as Playboy's Playmate of the Year in 2004.
  • E. Valerie Bertinelli
    Valerie Bertinelli is an American actress and television personality best known for her breakout role in the sitcom "One Day at a Time" and later work as a Food Network host.
  • 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_69d889d3adc881909319f1edb8d2a956 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e439d6870c8190989897aa6beba8ff completed April 19, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_6a018c5025d08190ab2581a3b04ae661 completed May 11, 2026, 7:59 a.m.
Created at: April 10, 2026, 5:43 a.m.