Triple

T5779009
Position Surface form Disambiguated ID Type / Status
Subject Cosette E127511 entity
Predicate spouse P13 FINISHED
Object Marius Pontmercy E130843 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 Pontmercy | Statement: [Cosette, spouse, Marius Pontmercy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marius Pontmercy
Context triple: [Cosette, spouse, Marius Pontmercy]
  • A. Marius Pontmercy chosen
    Marius Pontmercy is a central character in Victor Hugo’s novel *Les Misérables*, a young idealistic law student and revolutionary who falls in love with Cosette.
  • 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 the given name of the Norwegian mathematician Sophus Lie, a pioneer in the theory of continuous transformation groups (Lie groups).
  • D. Marius
    Marius was a short-lived 3rd-century Roman usurper who briefly ruled the breakaway Gallic Empire during the Crisis of the Third Century.
  • E. 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.
  • 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_69c008361fa88190aefa4dc41b051e7f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c029e26ff88190b7f8eb03bcd30dc6 completed March 22, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0980d833481908e69a80a63bbe256 completed March 23, 2026, 1:31 a.m.
Created at: March 22, 2026, 3:50 p.m.