Triple

T2425188
Position Surface form Disambiguated ID Type / Status
Subject Grzegorz Lato E53509 entity
Predicate familyName P18 FINISHED
Object Lato
Lato is a Polish surname most famously borne by Grzegorz Lato, a legendary Polish footballer and World Cup Golden Boot winner.
 E265836 NE FINISHED

How this triple was built (4 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: Lato | Statement: [Grzegorz Lato, familyName, Lato]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lato
Context triple: [Grzegorz Lato, familyName, Lato]
  • A. Caslon
    Caslon is a casual, contemporary women's clothing and footwear brand known for its comfortable basics and everyday wardrobe staples, often sold at Nordstrom.
  • B. Constantia
    Constantia was a Roman noblewoman, traditionally identified as a daughter or close relative of Emperor Constantine the Great, after whom the city of Constanța is believed to be named.
  • C. Johnston typeface
    Johnston typeface is a humanist sans-serif typeface designed in the early 20th century by Edward Johnston, best known as the iconic lettering used across the London Underground network.
  • D. TMU Bold
    TMU Bold is the varsity athletics program representing Toronto Metropolitan University in intercollegiate sports competitions.
  • E. Adobe Fonts
    Adobe Fonts is a subscription-based online font library and management service offering thousands of high-quality typefaces for use across desktop and web design projects.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lato
Triple: [Grzegorz Lato, familyName, Lato]
Generated description
Lato is a Polish surname most famously borne by Grzegorz Lato, a legendary Polish footballer and World Cup Golden Boot winner.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lato
Target entity description: Lato is a Polish surname most famously borne by Grzegorz Lato, a legendary Polish footballer and World Cup Golden Boot winner.
  • A. Caslon
    Caslon is a casual, contemporary women's clothing and footwear brand known for its comfortable basics and everyday wardrobe staples, often sold at Nordstrom.
  • B. Constantia
    Constantia was a Roman noblewoman, traditionally identified as a daughter or close relative of Emperor Constantine the Great, after whom the city of Constanța is believed to be named.
  • C. Johnston typeface
    Johnston typeface is a humanist sans-serif typeface designed in the early 20th century by Edward Johnston, best known as the iconic lettering used across the London Underground network.
  • D. TMU Bold
    TMU Bold is the varsity athletics program representing Toronto Metropolitan University in intercollegiate sports competitions.
  • E. Adobe Fonts
    Adobe Fonts is a subscription-based online font library and management service offering thousands of high-quality typefaces for use across desktop and web design projects.
  • F. None of above. chosen

Provenance (5 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_69ab495c44d48190b7235b23719bc3f6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc99a773c819092d5f3c297b83887 completed March 7, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf61088481909d79e822e4071456 completed March 9, 2026, 12:38 p.m.
NEDg Description generation batch_69aec2e4fee481909704d329ad92f4ad completed March 9, 2026, 12:53 p.m.
NED2 Entity disambiguation (via description) batch_69aec39bb6a4819084652814e18f60d4 completed March 9, 2026, 12:56 p.m.
Created at: March 6, 2026, 9:42 p.m.