Triple

T20409684
Position Surface form Disambiguated ID Type / Status
Subject Dylanesque E500555 entity
Predicate followedBy P78 FINISHED
Object Olympia 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: Olympia | Statement: [Dylanesque, followedBy, Olympia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olympia
Context triple: [Dylanesque, followedBy, Olympia]
  • A. Olympia
    Olympia is a 1938 German documentary film directed by Leni Riefenstahl that chronicles the 1936 Berlin Olympic Games and is renowned both for its pioneering cinematic techniques and its association with Nazi propaganda.
  • B. Olympia
    Olympia is an ancient sanctuary in Greece renowned as a major religious center dedicated to Zeus and the original site of the Olympic Games.
  • C. Olympia
    Olympia is Édouard Manet’s groundbreaking 1863 oil painting that scandalized Paris with its frank depiction of a reclining nude and is now regarded as a pivotal work in the development of modern art.
  • D. Olympia
    Olympia is a prestigious international bodybuilding competition title awarded annually to the world's top professional bodybuilders.
  • E. Olympia
    Olympia is a prominent football stadium in Helsingborg, Sweden, serving as the home ground of Helsingborgs IF.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69e0b4a935588190b9446a99b37ced44 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67a3e0c1c8190be39d7f09c839dfa completed April 20, 2026, 7:10 p.m.
Created at: April 16, 2026, 11:29 a.m.