Triple

T9212663
Position Surface form Disambiguated ID Type / Status
Subject Patricio Castilla E221162 entity
Predicate spouse P13 FINISHED
Object actress Geraldine Chaplin E27689 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: actress Geraldine Chaplin | Statement: [Patricio Castilla, spouse, actress Geraldine Chaplin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: actress Geraldine Chaplin
Context triple: [Patricio Castilla, spouse, actress Geraldine Chaplin]
  • A. Geraldine Chaplin chosen
    Geraldine Chaplin is a British-American actress known for her work in international cinema, including acclaimed roles in films such as "Doctor Zhivago" and "Cría cuervos."
  • B. Victoria Chaplin
    Victoria Chaplin is a French circus performer and theatre artist, known for her innovative work in contemporary circus and as the daughter of film legend Charlie Chaplin.
  • C. Jane Chaplin
    Jane Chaplin is a Swiss-born actress and one of the daughters of legendary silent film star Charlie Chaplin.
  • D. Jane Chaplin
    Jane Chaplin is a filmmaker and writer best known for her work on the documentary "Love and Magic in Mama's Kitchen."
  • E. Josephine Chaplin
    Josephine Chaplin was a French-American actress and one of Charlie Chaplin’s daughters, known for her roles in European cinema from the 1960s onward.
  • 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_69ca83e9d0e081908bdb71097201a06c completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda05406081909893bec3a092d3ce completed April 1, 2026, 8:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0660839f88190afdfb8bc2d710fc3 completed April 4, 2026, 1:14 a.m.
Created at: March 30, 2026, 7:27 p.m.