Triple

T17350164
Position Surface form Disambiguated ID Type / Status
Subject Room for One More E421786 entity
Predicate starring P1507 FINISHED
Object Lurene Tuttle 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: Lurene Tuttle | Statement: [Room for One More, starring, Lurene Tuttle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lurene Tuttle
Context triple: [Room for One More, starring, Lurene Tuttle]
  • A. Lurene Tuttle chosen
    Lurene Tuttle was an American character actress known for her prolific work in radio, film, and television from the 1930s through the 1970s.
  • B. Verna Felton
    Verna Felton was an American character actress and voice performer best known for her memorable roles in classic Disney animated films.
  • C. Loretta Stinson
    Loretta Stinson is a recurring character on the sitcom "How I Met Your Mother," known as Barney Stinson’s outspoken and overbearing mother.
  • D. Marilee Earle
    Marilee Earle is an actress best known for her role in the 1958 Western film "Terror in a Texas Town."
  • E. Betty McGlown
    Betty McGlown was an original member of the vocal group that would later become the legendary Motown act The Supremes.
  • 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_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a2bd0a881909e71c89773d9273c completed April 19, 2026, 2:12 a.m.
Created at: April 10, 2026, 5:44 a.m.