Triple

T10471124
Position Surface form Disambiguated ID Type / Status
Subject In Fabric E246922 entity
Predicate editedBy P1954 FINISHED
Object Matyas Fekete
Matyas Fekete is an editor known for his work on the publication or project titled "In Fabric."
E868176 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: Matyas Fekete | Statement: [In Fabric, editedBy, Matyas Fekete]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matyas Fekete
Context triple: [In Fabric, editedBy, Matyas Fekete]
  • A. Béla
    Béla was a common medieval Hungarian royal given name borne by several kings, most notably Béla IV of Hungary.
  • B. Kálmán
    Kálmán is a Hungarian surname most notably associated with Rudolf E. Kálmán, the pioneering engineer and mathematician behind the Kalman filter.
  • C. István
    István is the Hungarian given name of Stephen I of Hungary, the first Christian king and founder of the medieval Hungarian state.
  • D. Lajos
    Lajos is a Hungarian masculine given name commonly used in Central and Eastern Europe.
  • E. Márton
    Márton is a Hungarian given name, equivalent to the name Martin in other languages.
  • 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: Matyas Fekete
Triple: [In Fabric, editedBy, Matyas Fekete]
Generated description
Matyas Fekete is an editor known for his work on the publication or project titled "In Fabric."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Matyas Fekete
Target entity description: Matyas Fekete is an editor known for his work on the publication or project titled "In Fabric."
  • A. Béla
    Béla was a common medieval Hungarian royal given name borne by several kings, most notably Béla IV of Hungary.
  • B. Kálmán
    Kálmán is a Hungarian surname most notably associated with Rudolf E. Kálmán, the pioneering engineer and mathematician behind the Kalman filter.
  • C. István
    István is the Hungarian given name of Stephen I of Hungary, the first Christian king and founder of the medieval Hungarian state.
  • D. Lajos
    Lajos is a Hungarian masculine given name commonly used in Central and Eastern Europe.
  • E. Márton
    Márton is a Hungarian given name, equivalent to the name Martin in other languages.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509305fec81908b1acd91ae1f875d completed April 7, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90db8b1288190bb6bb064cb0724e0 completed April 10, 2026, 2:48 p.m.
NEDg Description generation batch_69d9100604e08190b744b361d60188d5 completed April 10, 2026, 2:58 p.m.
NED2 Entity disambiguation (via description) batch_69d910a1cdb88190988db41e97341ed9 completed April 10, 2026, 3 p.m.
Created at: April 6, 2026, 12:20 p.m.