Triple

T5422882
Position Surface form Disambiguated ID Type / Status
Subject Picard language E121293 entity
Predicate alternativeName P39 FINISHED
Object Picard E349035 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: Picard | Statement: [Picard language, alternativeName, Picard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Picard
Context triple: [Picard language, alternativeName, Picard]
  • A. Picard chosen
    Picard is a Romance language closely related to French, traditionally spoken in parts of northern France and southern Belgium.
  • B. Jean-Luc Picard
    Jean-Luc Picard is the thoughtful and principled Starfleet captain of the USS Enterprise in the Star Trek franchise, known for his diplomacy, intellect, and moral leadership.
  • C. Riker
    Riker is a surname most prominently associated with the American Riker family, including historical figures in New York such as Abraham Rycken.
  • D. Geordi La Forge
    Geordi La Forge is a key Starfleet engineer in the Star Trek universe, best known as the visually impaired chief engineer of the USS Enterprise-D who uses a VISOR to see.
  • E. Spock
    Spock is a half-human, half-Vulcan Starfleet officer from the Star Trek franchise, renowned for his logical mind, emotional restraint, and iconic role as science officer of the starship Enterprise.
  • 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_69bd463b58d88190b258261573de9e91 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd8812f84c819094d8516f69fff83d completed March 20, 2026, 5:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3ab7f6b481908fead172fbdafe36 completed March 22, 2026, 12:41 a.m.
Created at: March 20, 2026, 2:06 p.m.