Triple

T8361456
Position Surface form Disambiguated ID Type / Status
Subject What Dreams May Come E197015 entity
Predicate narrator P2181 FINISHED
Object Chris Nielsen E736446 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: Chris Nielsen | Statement: [What Dreams May Come, narrator, Chris Nielsen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris Nielsen
Context triple: [What Dreams May Come, narrator, Chris Nielsen]
  • A. Chris Nielsen chosen
    Chris Nielsen is the protagonist of the film "What Dreams May Come," a devoted husband who journeys through the afterlife to reunite with his wife.
  • B. Rob Nielsen
    Rob Nielsen is an individual known primarily as the child of Erik Nielsen.
  • C. Michael Christensen
    Michael Christensen is a Danish professional racing driver known for competing in international sports car and endurance racing events, including the FIA World Endurance Championship.
  • D. Erik Nielsen
    Erik Nielsen was a Canadian lawyer and Progressive Conservative politician who served as Deputy Prime Minister under Brian Mulroney and was the younger brother of actor Leslie Nielsen.
  • E. Erik Christensen
    Erik Christensen is a retired Canadian professional ice hockey centre who played in the NHL for several teams, including the Pittsburgh Penguins and New York Rangers.
  • 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_69ca82f2dbe48190aba982e75a0d94de completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb8074e4588190b394d1622adca2cb completed March 31, 2026, 8:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce4d9dff0081908219f9b2690d97fe completed April 2, 2026, 11:06 a.m.
Created at: March 30, 2026, 6 p.m.