Triple

T23059248
Position Surface form Disambiguated ID Type / Status
Subject Marius Goring E574250 entity
Predicate givenName P17 FINISHED
Object Marius 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: Marius | Statement: [Marius Goring, givenName, Marius]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marius
Context triple: [Marius Goring, givenName, Marius]
  • A. Marius
    Marius is the given name of the Norwegian mathematician Sophus Lie, a pioneer in the theory of continuous transformation groups (Lie groups).
  • B. Marius chosen
    Marius is a principal fictional character in the musical Les Misérables, portrayed as a young idealistic student and romantic lead.
  • C. Marius
    Marius is the family name (nomen) of the prominent Roman general and statesman Gaius Marius, known for his military reforms and multiple consulships in the late Roman Republic.
  • D. Marius
    Marius is a French film adaptation of Marcel Pagnol’s classic Marseille-set play, brought to the screen under the direction of actor-filmmaker Daniel Auteuil.
  • E. Marius
    Marius is a centuries-old vampire and mentor figure from Anne Rice’s Vampire Chronicles, notably appearing in adaptations such as the musical "Lestat."
  • 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_69e245ba7ae48190be606dbc54120e39 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1899e6c788190a2a862122cae8dc3 completed April 29, 2026, 4:31 a.m.
Created at: April 17, 2026, 3:55 p.m.