Triple

T15621426
Position Surface form Disambiguated ID Type / Status
Subject Marius Sophus Bethe E375563 entity
Predicate hasGivenName P17 FINISHED
Object Marius E1116652 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: Marius | Statement: [Marius Sophus Bethe, hasGivenName, Marius]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marius
Context triple: [Marius Sophus Bethe, hasGivenName, 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
    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.
  • C. 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.
  • D. 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."
  • E. Marius chosen
    Marius is a masculine given name of Latin origin, historically associated with ancient Rome and later used in various European languages.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e9a95f08190b0013ba1428849d3 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f3da754819085a6bd9876b12c65 completed May 9, 2026, 4:22 p.m.
Created at: April 10, 2026, 4:13 a.m.