Triple

T21229867
Position Surface form Disambiguated ID Type / Status
Subject The Boat Is Full E523178 entity
Predicate editedBy P1954 FINISHED
Object Lilo Gerber NE NERFINISHED

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: Lilo Gerber | Statement: [The Boat Is Full, editedBy, Lilo Gerber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lilo Gerber
Context triple: [The Boat Is Full, editedBy, Lilo Gerber]
  • A. Lilo Gerber chosen
    Lilo Gerber is a film editor known for her work on the Swiss World War II drama "The Boat Is Full."
  • B. Thora Birch
    Thora Birch is an American actress known for her roles in films such as "American Beauty," "Ghost World," and various prominent 1990s and early 2000s movies.
  • C. Madelyn Deutch
    Madelyn Deutch is an American actress, writer, and musician known for her work in film and television, including writing and starring in the movie "The Year of Spectacular Men."
  • D. Alicia Witt
    Alicia Witt is an American actress, singer-songwriter, and pianist known for her roles in film and television, including appearances in projects like "Mr. Holland's Opus," "Dune," and "The Walking Dead."
  • E. Minnie Driver
    Minnie Driver is a British-American actress and singer best known for her acclaimed, Oscar-nominated performance in the film "Good Will Hunting."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b512ad94819087942b2ed925185f completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e734ae60408190a9480b27d109b8fc completed April 21, 2026, 8:26 a.m.
Created at: April 16, 2026, 3:45 p.m.