Triple

T6982063
Position Surface form Disambiguated ID Type / Status
Subject The Thin Man Goes Home E161870 entity
Predicate starring P1507 FINISHED
Object Gloria DeHaven E131598 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: Gloria DeHaven | Statement: [The Thin Man Goes Home, starring, Gloria DeHaven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gloria DeHaven
Context triple: [The Thin Man Goes Home, starring, Gloria DeHaven]
  • A. Gloria DeHaven chosen
    Gloria DeHaven was an American actress and singer best known for her roles in classic Hollywood musicals of the 1940s and 1950s.
  • B. Helen Merrill
    Helen Merrill is an American jazz vocalist renowned for her cool, introspective style and influential recordings with leading jazz musicians of the 1950s.
  • C. Margaret Whiting
    Margaret Whiting was an American traditional pop and country music singer prominent in the 1940s and 1950s, known for her smooth vocal style and numerous hit recordings.
  • D. Betty Garrett
    Betty Garrett was an American actress, comedian, singer, and dancer known for her energetic performances in mid-20th-century Hollywood musicals and later in popular television sitcoms.
  • E. Phyllis Calvert
    Phyllis Calvert was a prominent British film and stage actress, best known as one of the leading stars of 1940s British cinema.
  • 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_69c68855dc0481909b4c7e9e9ed273db completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db6d3f3c8190b0121f7934440c34 completed March 27, 2026, 7:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c78839d37c8190a127c01e2aeb71ee completed March 28, 2026, 7:50 a.m.
Created at: March 27, 2026, 2:31 p.m.