Triple

T18878943
Position Surface form Disambiguated ID Type / Status
Subject Jan Triska E461765 entity
Predicate notableWork P4 FINISHED
Object Anděl Exit
Anděl Exit is a Czech film featuring actor Jan Tříska in a prominent role.
E1347236 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: Anděl Exit | Statement: [Jan Triska, notableWork, Anděl Exit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anděl Exit
Context triple: [Jan Triska, notableWork, Anděl Exit]
  • A. Anděl
    Anděl is a major Prague Metro station and busy transport hub located in the Smíchov district of the city.
  • B. Artangel
    Artangel is a London-based arts organization known for producing ambitious, site-specific and often socially engaged contemporary art projects.
  • C. El Ángel
    El Ángel is a famous victory column and iconic symbol of Mexico City commemorating the country’s independence.
  • D. Archangel
    Archangel is a virtual reality mech combat game developed by Skydance Interactive, featuring story-driven missions and large-scale mechanized warfare.
  • E. Archangel
    Archangel is a historical fiction collection by Andrea Barrett that intertwines science, war, and personal relationships in early 20th-century settings.
  • 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: Anděl Exit
Triple: [Jan Triska, notableWork, Anděl Exit]
Generated description
Anděl Exit is a Czech film featuring actor Jan Tříska in a prominent role.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Anděl Exit
Target entity description: Anděl Exit is a Czech film featuring actor Jan Tříska in a prominent role.
  • A. Anděl
    Anděl is a major Prague Metro station and busy transport hub located in the Smíchov district of the city.
  • B. Artangel
    Artangel is a London-based arts organization known for producing ambitious, site-specific and often socially engaged contemporary art projects.
  • C. El Ángel
    El Ángel is a famous victory column and iconic symbol of Mexico City commemorating the country’s independence.
  • D. Archangel
    Archangel is a virtual reality mech combat game developed by Skydance Interactive, featuring story-driven missions and large-scale mechanized warfare.
  • E. Archangel
    Archangel is a historical fiction collection by Andrea Barrett that intertwines science, war, and personal relationships in early 20th-century settings.
  • 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_69d8dcfc3430819095ee6fc0eb4c06a5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c3d06ef481908bba297d7a1fd011 completed April 20, 2026, 6:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0575c37ed081908e70d965dbea09c8 completed May 14, 2026, 7:12 a.m.
NEDg Description generation batch_6a057697121481909dc6f19aa9549262 completed May 14, 2026, 7:15 a.m.
NED2 Entity disambiguation (via description) batch_6a057761268481908589088ab2f5c2e7 completed May 14, 2026, 7:18 a.m.
Created at: April 10, 2026, 11:57 a.m.