Triple

T3497629
Position Surface form Disambiguated ID Type / Status
Subject George Grosz E73889 entity
Predicate familyName P18 FINISHED
Object Groß
Groß is a German surname most notably borne by the influential Dadaist and New Objectivity painter and caricaturist George Grosz.
 E362679 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: Groß | Statement: [George Grosz, familyName, Groß]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Groß
Context triple: [George Grosz, familyName, Groß]
  • A. Big
    Big is a 1988 fantasy-comedy film in which Tom Hanks plays a boy who magically becomes an adult overnight, earning widespread acclaim and helping establish him as a major Hollywood star.
  • B. Gros
    Gros is a French surname most famously borne by Antoine-Jean Gros, a prominent Napoleonic-era painter known for his dramatic historical and battle scenes.
  • C. Nagy
    Nagy is a common Hungarian surname borne by numerous notable figures in politics, arts, sports, and science.
  • D. Mega
    Mega is a major Chilean free-to-air television network known for its wide range of news, entertainment, and telenovela programming.
  • E. Giant
    "Giant" is a 1956 American epic Western drama film, co-starring Elizabeth Taylor, Rock Hudson, and James Dean, that explores themes of family, wealth, and social change in Texas over several decades.
  • 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: Groß
Triple: [George Grosz, familyName, Groß]
Generated description
Groß is a German surname most notably borne by the influential Dadaist and New Objectivity painter and caricaturist George Grosz.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Groß
Target entity description: Groß is a German surname most notably borne by the influential Dadaist and New Objectivity painter and caricaturist George Grosz.
  • A. Big
    Big is a 1988 fantasy-comedy film in which Tom Hanks plays a boy who magically becomes an adult overnight, earning widespread acclaim and helping establish him as a major Hollywood star.
  • B. Gros
    Gros is a French surname most famously borne by Antoine-Jean Gros, a prominent Napoleonic-era painter known for his dramatic historical and battle scenes.
  • C. Nagy
    Nagy is a common Hungarian surname borne by numerous notable figures in politics, arts, sports, and science.
  • D. Mega
    Mega is a major Chilean free-to-air television network known for its wide range of news, entertainment, and telenovela programming.
  • E. Giant
    "Giant" is a 1956 American epic Western drama film, co-starring Elizabeth Taylor, Rock Hudson, and James Dean, that explores themes of family, wealth, and social change in Texas over several decades.
  • 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_69ad85cdb6e48190a335d412b9194ed8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbbd299ec8190b76b165b2fd70537 completed March 8, 2026, 6:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373d011c0819088245afe03be3c44 completed March 13, 2026, 2:17 a.m.
NEDg Description generation batch_69b3745c7304819085a47af79cd738c0 completed March 13, 2026, 2:20 a.m.
NED2 Entity disambiguation (via description) batch_69b374f5999c8190ae48570a412dc6dc completed March 13, 2026, 2:22 a.m.
Created at: March 8, 2026, 3:18 p.m.