Triple

T19779941
Position Surface form Disambiguated ID Type / Status
Subject Mateusz E475103 entity
Predicate shortForm P43 FINISHED
Object Matek
Matek is a common Polish diminutive or nickname for the male given name Mateusz.
E1394957 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: Matek | Statement: [Mateusz, shortForm, Matek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matek
Context triple: [Mateusz, shortForm, Matek]
  • A. Matemale
    Matemale is a small commune in the Pyrénées-Orientales department of southern France, known for its high-altitude lake and mountain setting in the Capcir plateau.
  • B. Buthle MaMathe
    Buthle MaMathe is one of the wives of the late King Goodwill Zwelithini kaBhekuzulu, the former monarch of the Zulu nation in South Africa.
  • C. Mathnawi
    Mathnawi is a monumental six-volume Persian Sufi poetic work by Rumi that explores mystical love, spiritual wisdom, and the path to divine union.
  • D. Mathis
    Mathis is a supporting character in Ian Fleming's James Bond series, notably appearing as an ally in the novel "Casino Royale."
  • E. Méta-Matics
    Méta-Matics is a series of self-drawing kinetic machines by Swiss artist Jean Tinguely that satirize automation and the art-making process.
  • 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: Matek
Triple: [Mateusz, shortForm, Matek]
Generated description
Matek is a common Polish diminutive or nickname for the male given name Mateusz.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Matek
Target entity description: Matek is a common Polish diminutive or nickname for the male given name Mateusz.
  • A. Matemale
    Matemale is a small commune in the Pyrénées-Orientales department of southern France, known for its high-altitude lake and mountain setting in the Capcir plateau.
  • B. Buthle MaMathe
    Buthle MaMathe is one of the wives of the late King Goodwill Zwelithini kaBhekuzulu, the former monarch of the Zulu nation in South Africa.
  • C. Mathnawi
    Mathnawi is a monumental six-volume Persian Sufi poetic work by Rumi that explores mystical love, spiritual wisdom, and the path to divine union.
  • D. Mathis
    Mathis is a supporting character in Ian Fleming's James Bond series, notably appearing as an ally in the novel "Casino Royale."
  • E. Méta-Matics
    Méta-Matics is a series of self-drawing kinetic machines by Swiss artist Jean Tinguely that satirize automation and the art-making process.
  • 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_69d8e51a43a08190956bc6df13c91a77 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65382ff308190832800dd60675f7a completed April 20, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07bd7ac0b48190bc331db6689f7b54 completed May 16, 2026, 12:42 a.m.
NEDg Description generation batch_6a07be450e608190a008095b0502b2d3 completed May 16, 2026, 12:45 a.m.
NED2 Entity disambiguation (via description) batch_6a07bed4c8d8819094fafce7eee69ee7 completed May 16, 2026, 12:48 a.m.
Created at: April 10, 2026, 1:49 p.m.