Triple

T7513564
Position Surface form Disambiguated ID Type / Status
Subject Somers Town E177584 entity
Predicate mainCharacter P1183 FINISHED
Object Marek
Marek is the young Polish immigrant boy who serves as the central protagonist in the British film "Somers Town."
 E352681 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: Marek | Statement: [Somers Town, mainCharacter, Marek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marek
Context triple: [Somers Town, mainCharacter, Marek]
  • A. Marek
    Marek is a common given name in several Slavic countries, equivalent to the Latin name Marcus.
  • B. Marek Belka
    Marek Belka is a Polish economist and politician who served as Prime Minister of Poland and later as president of the National Bank of Poland.
  • C. Feliks
    Feliks is a given name, commonly used in Slavic and other European languages, that corresponds to the name Felix.
  • D. Jacek
    Jacek is a common Polish male given name, often associated with notable figures in Polish politics, arts, and academia.
  • E. Husák
    Husák is a Slovak surname most prominently associated with Gustáv Husák, the communist politician who served as president of Czechoslovakia during the normalization era.
  • 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: Marek
Triple: [Somers Town, mainCharacter, Marek]
Generated description
Marek is the young Polish immigrant boy who serves as the central protagonist in the British film "Somers Town."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marek
Target entity description: Marek is the young Polish immigrant boy who serves as the central protagonist in the British film "Somers Town."
  • A. Marek chosen
    Marek is a common given name in several Slavic countries, equivalent to the Latin name Marcus.
  • B. Marek Belka
    Marek Belka is a Polish economist and politician who served as Prime Minister of Poland and later as president of the National Bank of Poland.
  • C. Feliks
    Feliks is a given name, commonly used in Slavic and other European languages, that corresponds to the name Felix.
  • D. Jacek
    Jacek is a common Polish male given name, often associated with notable figures in Polish politics, arts, and academia.
  • E. Husák
    Husák is a Slovak surname most prominently associated with Gustáv Husák, the communist politician who served as president of Czechoslovakia during the normalization era.
  • F. None of above.

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_69c69f2891148190a484f3b8222c6f1b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5d6ccb08190a568a9b58bfbd0cc completed March 27, 2026, 9:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84619aac8819083a1d7380f4b30d3 completed March 28, 2026, 9:20 p.m.
NEDg Description generation batch_69c847d251f081909f77d851be07948c completed March 28, 2026, 9:27 p.m.
NED2 Entity disambiguation (via description) batch_69c8487229548190861491b1b0720adb completed March 28, 2026, 9:30 p.m.
Created at: March 27, 2026, 3:45 p.m.