Triple

T22803401
Position Surface form Disambiguated ID Type / Status
Subject Tramps E564463 entity
Predicate starring P1507 FINISHED
Object Michal Vondel
Michal Vondel is an actor known for his role in the film "Tramps."
E1555770 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: Michal Vondel | Statement: [Tramps, starring, Michal Vondel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michal Vondel
Context triple: [Tramps, starring, Michal Vondel]
  • A. Adriaan van Dis
    Adriaan van Dis is a Dutch author and television presenter known for his literary works often exploring colonial history, identity, and postwar Dutch society.
  • B. Joost van den Vondel
    Joost van den Vondel was a 17th-century Dutch poet and playwright, widely regarded as one of the greatest writers in the Dutch language.
  • C. Jodocus Vijd
    Jodocus Vijd was a wealthy 15th-century Ghent patrician and patron of the arts best known for commissioning the renowned Ghent Altarpiece by Hubert and Jan van Eyck.
  • D. Hugo Claus
    Hugo Claus was a prominent Belgian novelist, poet, playwright, and filmmaker, widely regarded as one of the most important figures in postwar Dutch-language literature.
  • E. Jakob Andreae
    Jakob Andreae was a 16th-century German Lutheran theologian and church leader who played a key role in shaping post-Reformation Lutheran doctrine.
  • 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: Michal Vondel
Triple: [Tramps, starring, Michal Vondel]
Generated description
Michal Vondel is an actor known for his role in the film "Tramps."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Michal Vondel
Target entity description: Michal Vondel is an actor known for his role in the film "Tramps."
  • A. Adriaan van Dis
    Adriaan van Dis is a Dutch author and television presenter known for his literary works often exploring colonial history, identity, and postwar Dutch society.
  • B. Joost van den Vondel
    Joost van den Vondel was a 17th-century Dutch poet and playwright, widely regarded as one of the greatest writers in the Dutch language.
  • C. Jodocus Vijd
    Jodocus Vijd was a wealthy 15th-century Ghent patrician and patron of the arts best known for commissioning the renowned Ghent Altarpiece by Hubert and Jan van Eyck.
  • D. Hugo Claus
    Hugo Claus was a prominent Belgian novelist, poet, playwright, and filmmaker, widely regarded as one of the most important figures in postwar Dutch-language literature.
  • E. Jakob Andreae
    Jakob Andreae was a 16th-century German Lutheran theologian and church leader who played a key role in shaping post-Reformation Lutheran doctrine.
  • 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_69e245823f4c8190ade442cdcc2c224a completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17d5a7c2881909a7aaacddd09f00c completed April 29, 2026, 3:39 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b9e9b35e08190a3ad478355279253 completed May 18, 2026, 11:19 p.m.
NEDg Description generation batch_6a0ba2386bf88190911fe2cd9870023a completed May 18, 2026, 11:35 p.m.
NED2 Entity disambiguation (via description) batch_6a0ba2bae9888190a8d115579643695b completed May 18, 2026, 11:37 p.m.
Created at: April 17, 2026, 3:31 p.m.