Triple

T12166881
Position Surface form Disambiguated ID Type / Status
Subject Szymon E289855 entity
Predicate hasEquivalentInEnglish P3437 FINISHED
Object Simon E449149 NE FINISHED

How this triple was built (3 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: Simon | Statement: [Szymon, hasEquivalentInEnglish, Simon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Simon
Context triple: [Szymon, hasEquivalentInEnglish, Simon]
  • A. Simon chosen
    Simon is a common masculine given name of Hebrew origin, widely used in many cultures and languages.
  • B. Simon
    Simon is a fictional character from the animated television series "The Seasons."
  • C. Simon
    Simon is the given name of Simon Bolivar Buckner Jr., a U.S. Army lieutenant general who was killed in action while commanding forces during the Battle of Okinawa in World War II.
  • D. Simon
    Simon is a common surname of English and Jewish origin borne by numerous notable individuals across politics, business, arts, and sciences.
  • E. Simon
    Simon is a sleazy used-car salesman and comic-relief character in the action-comedy film "True Lies," who pretends to be a secret agent to seduce women.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEquivalentInEnglish
Context triple: [Szymon, hasEquivalentInEnglish, Simon]
  • A. languageEquivalent
    Indicates that two linguistic expressions convey the same meaning or function across different languages or language varieties.
  • B. hasEnglishName chosen
    Indicates that an entity is associated with a name expressed in the English language.
  • C. equivalentIn
    Indicates that two entities are considered logically or functionally the same in meaning, status, or effect within a given context.
  • D. hasEnglishGloss
    Indicates that one entity serves as the English-language gloss or explanatory translation for the other entity.
  • E. equivalentEpithetLanguage
    Indicates that two epithets are expressed in different languages but convey the same meaning or designation.
  • F. None of above.

Provenance (4 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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d91621ca6c81908365732f361aef13 completed April 10, 2026, 3:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e4deb308190aa1a99a78d46b461 completed May 2, 2026, 3:54 p.m.
PD Predicate disambiguation batch_69d9150e85348190b9b47cda4a17dcd0 completed April 10, 2026, 3:19 p.m.
Created at: April 8, 2026, 9:50 p.m.