Triple

T16622150
Position Surface form Disambiguated ID Type / Status
Subject Star Trek: Nemesis E403859 entity
Predicate featuresCharacter P626 FINISHED
Object Jean-Luc Picard E164059 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-Luc Picard | Statement: [Star Trek: Nemesis, featuresCharacter, Jean-Luc Picard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jean-Luc Picard
Context triple: [Star Trek: Nemesis, featuresCharacter, Jean-Luc Picard]
  • A. Jean-Luc Picard chosen
    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.
  • B. Will Riker
    Will Riker is a charismatic Starfleet officer best known as Captain Jean-Luc Picard’s trusted first officer aboard the USS Enterprise in the Star Trek franchise.
  • C. 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.
  • D. Ian Andrew Troi
    Ian Andrew Troi is the late Betazoid father of Starfleet counselor Deanna Troi in the Star Trek universe.
  • E. Picard
    Picard is a Romance language closely related to French, traditionally spoken in parts of northern France and southern Belgium.
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3754e80ec8190b3c66b33dbc7463c completed April 18, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007db27f788190a3c57b7ea8a8a9c6 completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:17 a.m.