Triple

T8161509
Position Surface form Disambiguated ID Type / Status
Subject Musée Marmottan Monet E190585 entity
Predicate hasWorkBy P12366 FINISHED
Object Arman E403448 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: Arman | Statement: [Musée Marmottan Monet, hasWorkBy, Arman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arman
Context triple: [Musée Marmottan Monet, hasWorkBy, Arman]
  • A. Arman chosen
    Arman was a French-born American artist best known for his pioneering work in Nouveau Réalisme, particularly his accumulations and destructions of everyday objects as sculptural and conceptual art.
  • B. Arnish
    Arnish is a small village located on the Isle of Raasay in the Inner Hebrides of Scotland.
  • C. Armin
    Armin is the given name of Armin Mueller-Stahl, a renowned German actor, painter, and former musician known for his work in both European and Hollywood cinema.
  • D. Arleng
    Arleng is an alternative name for the Karbi language spoken by the Karbi people of Northeast India.
  • E. Zaya
    Zaya is a central human character in the fantasy film "Gods of Egypt," known for her devotion to Bek and her pivotal role in motivating the gods' struggle against Set.
  • 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_69ca82c0ef14819083713f4473dd847c completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb455559188190bf95d9d93bb76002 completed March 31, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbf2c22f0819085c686c005f49486 completed April 1, 2026, 6:46 a.m.
Created at: March 30, 2026, 5:38 p.m.