Triple

T4043430
Position Surface form Disambiguated ID Type / Status
Subject Adrian Balboa E84005 entity
Predicate portrayedBy P1507 FINISHED
Object Talia Shire E70833 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: Talia Shire | Statement: [Adrian Balboa, portrayedBy, Talia Shire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Talia Shire
Context triple: [Adrian Balboa, portrayedBy, Talia Shire]
  • A. Talia Shire chosen
    Talia Shire is an American actress best known for her roles as Adrian in the Rocky film series and Connie Corleone in The Godfather trilogy.
  • B. Sela Ward
    Sela Ward is an American actress known for her Emmy-winning performances in television dramas such as "Sisters" and "Once and Again."
  • C. Maud Adams
    Maud Adams is a Swedish actress best known for her roles as Bond girls in the James Bond films "The Man with the Golden Gun" and "Octopussy."
  • D. Lilla Crawford
    Lilla Crawford is an American actress and singer best known for her work in musical theatre and film, including playing the title role in Broadway’s "Annie" and Little Red Riding Hood in the 2014 film adaptation of "Into the Woods."
  • E. Talia Balsam
    Talia Balsam is an American actress known for her work in film and television, including roles in series like Mad Men and numerous independent movies.
  • 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_69aed930bd5c819083e7dcc14fc44f69 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb5d759c8190b61fbbe94ffe2bf7 completed March 9, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5629c312c8190b89af732e2ad0fa3 completed March 14, 2026, 1:29 p.m.
Created at: March 9, 2026, 3:37 p.m.