Triple

T19579493
Position Surface form Disambiguated ID Type / Status
Subject The Rocket E489948 entity
Predicate producer P490 FINISHED
Object Daniel Louis NE NERFINISHED

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: Daniel Louis | Statement: [The Rocket, producer, Daniel Louis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel Louis
Context triple: [The Rocket, producer, Daniel Louis]
  • A. Daniel Louis chosen
    Daniel Louis is a Canadian film producer known for his work on acclaimed Quebec cinema, including the hockey biopic "The Rocket."
  • B. Jean-Louis
    Jean-Louis is the birth name of American novelist and Beat Generation icon Jack Kerouac.
  • C. Jean-Louis
    Jean-Louis is the given first name of the French Romantic painter Théodore Géricault, renowned for works such as "The Raft of the Medusa."
  • D. Jean-Louis
    Jean-Louis is the introspective, morally conflicted Catholic engineer who serves as the central protagonist in Éric Rohmer’s film "My Night at Maud’s."
  • E. Jean-Louis
    Jean-Louis is a French masculine given name commonly used as a compound first name.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8dd9374819098e36349b3211663 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6402763b8819099e535979f094f9d completed April 20, 2026, 3:03 p.m.
Created at: April 10, 2026, 1:42 p.m.