Triple

T3759716
Position Surface form Disambiguated ID Type / Status
Subject The Monuments Men E82130 entity
Predicate stars P1956 FINISHED
Object Jean Dujardin E132556 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: Jean Dujardin | Statement: [The Monuments Men, stars, Jean Dujardin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jean Dujardin
Context triple: [The Monuments Men, stars, Jean Dujardin]
  • A. Jean Dujardin chosen
    Jean Dujardin is a French actor and comedian best known internationally for his Oscar-winning performance in the silent film pastiche "The Artist."
  • B. Guillaume Canet
    Guillaume Canet is a French actor, director, and screenwriter known for films such as "Tell No One" and "Little White Lies."
  • C. Daniel Auteuil
    Daniel Auteuil is a renowned French film and stage actor acclaimed for his versatile performances in both popular cinema and auteur-driven dramas.
  • D. James Thierrée
    James Thierrée is a Swiss-born actor, director, and contemporary circus performer known for his inventive, physical, and often surreal stage productions that blend mime, dance, and acrobatics.
  • E. Mathieu Amalric
    Mathieu Amalric is a French actor and filmmaker known for his versatile performances in European cinema and international films such as "The Diving Bell and the Butterfly" and "Quantum of Solace."
  • 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_69ad8b1db40081908b61ffa6b78afd4d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcbc3d3f48190974cec104080949f completed March 8, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e5133ba48190a18ea170e3b9e1cd completed March 14, 2026, 4:33 a.m.
Created at: March 8, 2026, 3:35 p.m.