Triple

T9853935
Position Surface form Disambiguated ID Type / Status
Subject The Lady in White E239537 entity
Predicate writer P1360 FINISHED
Object Frank LaLoggia E825062 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: Frank LaLoggia | Statement: [The Lady in White, writer, Frank LaLoggia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frank LaLoggia
Context triple: [The Lady in White, writer, Frank LaLoggia]
  • A. Frank LaLoggia chosen
    Frank LaLoggia is an American filmmaker best known for writing and directing the 1988 supernatural horror film "Lady in White."
  • B. Salvatore Totino
    Salvatore Totino is an American cinematographer known for his work on major Hollywood films, including collaborations with director Ron Howard on projects such as "The Da Vinci Code."
  • C. Frank Giustra
    Frank Giustra is a Canadian businessman and philanthropist best known as the founder of Lionsgate Entertainment and for his extensive work in the mining and film industries.
  • D. Gino Corrado
    Gino Corrado was an Italian-born character actor in early American cinema, known for his numerous supporting and bit roles in silent and classic Hollywood films.
  • E. Oscar D’Agostino
    Oscar D’Agostino was an Italian chemist who collaborated with Enrico Fermi’s Via Panisperna group, contributing to early nuclear physics research in Rome.
  • 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_69ca84e4fdc08190a624425bcef98665 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb376d32c819089381cf6ed83629d completed April 2, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1e4349a50819084ee1fcd067a082b completed April 5, 2026, 4:25 a.m.
Created at: March 30, 2026, 8:34 p.m.