Triple

T17026789
Position Surface form Disambiguated ID Type / Status
Subject Heidi (1937 film) E413084 entity
Predicate castMember P1668 FINISHED
Object Mady Christians E398193 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: Mady Christians | Statement: [Heidi (1937 film), castMember, Mady Christians]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mady Christians
Context triple: [Heidi (1937 film), castMember, Mady Christians]
  • A. Mady Christians chosen
    Mady Christians was an Austrian-American stage and film actress known for her work in both European cinema and Hollywood during the early to mid-20th century.
  • B. Madelyn Salosihn
    Madelyn Salosihn was the first wife of American comic actor Oliver Hardy, known for his work in the Laurel and Hardy comedy duo.
  • C. Madeleine McGraw
    Madeleine McGraw is an American child actress known for her roles in films like "The Black Phone" and various television and voice-acting projects.
  • D. Madelyn Pugh
    Madelyn Pugh was an American television writer best known as one of the pioneering female comedy writers in Hollywood and a key creative force behind classic sitcoms.
  • E. Katherine Olsen
    Katherine Olsen is known as the daughter of American engineer and Digital Equipment Corporation co-founder Ken Olsen.
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d5d5ed388190871aa738cac04b65 completed April 18, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012334c3b48190b125ab926450c45b completed May 11, 2026, 12:30 a.m.
Created at: April 10, 2026, 5:33 a.m.