Triple

T13054907
Position Surface form Disambiguated ID Type / Status
Subject Bill Foster (Marvel Cinematic Universe) E327544 entity
Predicate affiliation P10 FINISHED
Object Ava Starr E1030657 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: Ava Starr | Statement: [Bill Foster (Marvel Cinematic Universe), affiliation, Ava Starr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ava Starr
Context triple: [Bill Foster (Marvel Cinematic Universe), affiliation, Ava Starr]
  • A. Ava Starr chosen
    Ava Starr is the Marvel Cinematic Universe character known as Ghost, a quantumly unstable antagonist-turned-antihero who appears in "Ant-Man and the Wasp."
  • B. Gloria DeHaven
    Gloria DeHaven was an American actress and singer best known for her roles in classic Hollywood musicals of the 1940s and 1950s.
  • C. 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.
  • D. Alice Faye
    Alice Faye was an American actress and singer best known as a 1930s–1940s Hollywood musical star at 20th Century Fox.
  • E. Barbara Rush
    Barbara Rush is an American actress best known for her work in mid-20th-century film and television, including prominent roles in dramas and science fiction classics.
  • 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980bb52d88190b5be12000e27a2c9 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f71f0dddc88190918d3a071b75a556 completed May 3, 2026, 10:10 a.m.
Created at: April 9, 2026, 8:58 p.m.