Triple

T22981213
Position Surface form Disambiguated ID Type / Status
Subject George Tabori E571469 entity
Predicate familyName P18 FINISHED
Object Tabori
Tabori is a surname most notably associated with Hungarian-born writer and theater director George Tabori.
 E1565746 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: Tabori | Statement: [George Tabori, familyName, Tabori]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tabori
Context triple: [George Tabori, familyName, Tabori]
  • A. Taborio
    Taborio is a village settlement located on the island of Nonouti in the Republic of Kiribati.
  • B. Tichy
    Tichy is a surname most notably associated with American rock drummer and songwriter Brian Tichy.
  • C. Tichy
    Tichy is a coastal town and seaside resort in northern Algeria known for its Mediterranean beaches and tourism.
  • D. Tábor
    Tábor is a historic Czech town best known as a major stronghold and center of the radical Hussite movement in the early 15th century.
  • E. Zamberk
    Zamberk is a small historic town in the Pardubice Region of the Czech Republic, known for its traditional architecture and scenic setting in the Orlické Mountains foothills.
  • 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: Tabori
Triple: [George Tabori, familyName, Tabori]
Generated description
Tabori is a surname most notably associated with Hungarian-born writer and theater director George Tabori.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tabori
Target entity description: Tabori is a surname most notably associated with Hungarian-born writer and theater director George Tabori.
  • A. Taborio
    Taborio is a village settlement located on the island of Nonouti in the Republic of Kiribati.
  • B. Tichy
    Tichy is a surname most notably associated with American rock drummer and songwriter Brian Tichy.
  • C. Tichy
    Tichy is a coastal town and seaside resort in northern Algeria known for its Mediterranean beaches and tourism.
  • D. Tábor
    Tábor is a historic Czech town best known as a major stronghold and center of the radical Hussite movement in the early 15th century.
  • E. Zamberk
    Zamberk is a small historic town in the Pardubice Region of the Czech Republic, known for its traditional architecture and scenic setting in the Orlické Mountains foothills.
  • 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_69e245b3c50481908bb3741ec9f40862 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1829589548190863619aebcae026c completed April 29, 2026, 4:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bd3730f9c8190afd3c61b7915025c completed May 19, 2026, 3:05 a.m.
NEDg Description generation batch_6a0bd9ca66708190aebc81802de3f989 completed May 19, 2026, 3:32 a.m.
NED2 Entity disambiguation (via description) batch_6a0bda93cce481908b4dad0b481a3b58 completed May 19, 2026, 3:35 a.m.
Created at: April 17, 2026, 3:49 p.m.