Triple

T14285216
Position Surface form Disambiguated ID Type / Status
Subject Matty E354152 entity
Predicate hasSpellingVariant P457 FINISHED
Object Maty
Maty is a given name and surname used in various cultures, often as a variant spelling of Matty.
E1090703 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: Maty | Statement: [Matty, hasSpellingVariant, Maty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maty
Context triple: [Matty, hasSpellingVariant, Maty]
  • A. Matthau
    Matthau is a surname most famously associated with American actor Walter Matthau and his family, including his son, director Charles Matthau.
  • B. Martis
    Martis is a small town and comune in the Gallura region of northern Sardinia, Italy.
  • C. Maretz
    Maretz is a small commune in northern France, located in the Nord department within the Hauts-de-France region.
  • D. Matei
    Matei is a small coastal village on the island of Taveuni in Fiji, known for its airport and access to nearby resorts and natural attractions.
  • E. Ulrych
    Ulrych is a variant spelling of the Germanic given name Ulrich, commonly used in Central and Eastern European contexts.
  • 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: Maty
Triple: [Matty, hasSpellingVariant, Maty]
Generated description
Maty is a given name and surname used in various cultures, often as a variant spelling of Matty.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Maty
Target entity description: Maty is a given name and surname used in various cultures, often as a variant spelling of Matty.
  • A. Matthau
    Matthau is a surname most famously associated with American actor Walter Matthau and his family, including his son, director Charles Matthau.
  • B. Martis
    Martis is a small town and comune in the Gallura region of northern Sardinia, Italy.
  • C. Maretz
    Maretz is a small commune in northern France, located in the Nord department within the Hauts-de-France region.
  • D. Matei
    Matei is a small coastal village on the island of Taveuni in Fiji, known for its airport and access to nearby resorts and natural attractions.
  • E. Ulrych
    Ulrych is a variant spelling of the Germanic given name Ulrich, commonly used in Central and Eastern European contexts.
  • 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de697ef40c8190bea37724b28c2e99 completed April 14, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d1c4d988190b595e6a33ef96c28 completed May 8, 2026, 1:32 a.m.
NEDg Description generation batch_69fd3da6f0648190876dd86dd51e72cc completed May 8, 2026, 1:34 a.m.
NED2 Entity disambiguation (via description) batch_69fd3e30868481908b55b368ab45c7fb completed May 8, 2026, 1:36 a.m.
Created at: April 10, 2026, 1:10 a.m.