Triple

T22785718
Position Surface form Disambiguated ID Type / Status
Subject Olympia de Jesus Marto E563959 entity
Predicate givenName P17 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: [Olympia de Jesus Marto, givenName, Olympia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olympia
Context triple: [Olympia de Jesus Marto, givenName, Olympia]
  • A. 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.
  • B. 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.
  • C. Olympia
    Olympia is a prestigious international bodybuilding competition title awarded annually to the world's top professional bodybuilders.
  • D. Olympia chosen
    Olympia is a feminine given name of Greek origin, historically associated with figures such as saints and nobility.
  • E. Olympia
    Olympia is the Psychic-type Gym Leader of Anistar City in the Kalos region in the Pokémon series.
  • 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_69e2455500788190b4b33030461f3bbd completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17c30b4dc8190a5e23f4ce7feb300 completed April 29, 2026, 3:34 a.m.
Created at: April 17, 2026, 3:29 p.m.