Triple

T14745459
Position Surface form Disambiguated ID Type / Status
Subject Frida E346456 entity
Predicate starring P1507 FINISHED
Object Alfred Molina E82879 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: Alfred Molina | Statement: [Frida, starring, Alfred Molina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alfred Molina
Context triple: [Frida, starring, Alfred Molina]
  • A. Alfred Molina chosen
    Alfred Molina is a British-American actor known for his versatile performances in film, television, and theater, including notable roles in movies such as "Spider-Man 2," "Frida," and "Raiders of the Lost Ark."
  • B. James Bassett
    James Bassett was an American novelist best known for writing the World War II naval novel "Harm's Way," which was adapted into the 1965 film "In Harm's Way."
  • C. Harry Lloyd
    Harry Lloyd is an English actor known for his roles in television series such as Robin Hood and Game of Thrones, as well as various film and stage productions.
  • D. Julian Sands
    Julian Sands was an English actor known for his distinctive presence in films such as "A Room with a View," "Warlock," and "The Killing Fields."
  • E. Daniel Mays
    Daniel Mays is a British actor known for his versatile character roles in film and television, including prominent performances in projects like "Line of Duty," "Ashes to Ashes," and "Rogue One: A Star Wars Story."
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7d002708190a32a4a45e96fc389 completed April 14, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b43360481908dc73d5e6758fea6 completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 1:30 a.m.