Triple

T18058141
Position Surface form Disambiguated ID Type / Status
Subject Tage Erlander E432094 entity
Predicate givenName P17 FINISHED
Object Tage
Tage is a Scandinavian masculine given name most notably borne by Sweden’s long-serving former prime minister Tage Erlander.
E1304280 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: Tage | Statement: [Tage Erlander, givenName, Tage]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tage
Context triple: [Tage Erlander, givenName, Tage]
  • A. Zeithain
    Zeithain is a municipality in the Free State of Saxony in eastern Germany, situated within the broader Leipzig metropolitan region.
  • B. Torday
    Torday is the surname of British novelist Paul Torday, best known for writing "Salmon Fishing in the Yemen."
  • C. Daag
    Daag is a 1973 Hindi romantic drama film, directed by Yash Chopra and starring Rajesh Khanna and Sharmila Tagore, known for its music and emotionally charged storyline.
  • D. Hodierna
    Hodierna is an Italian surname most notably associated with the 17th-century astronomer Giovanni Battista Hodierna.
  • E. Dias
    Dias is a Portuguese-language surname shared by numerous individuals, including notable figures in arts, sports, and public life.
  • 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: Tage
Triple: [Tage Erlander, givenName, Tage]
Generated description
Tage is a Scandinavian masculine given name most notably borne by Sweden’s long-serving former prime minister Tage Erlander.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tage
Target entity description: Tage is a Scandinavian masculine given name most notably borne by Sweden’s long-serving former prime minister Tage Erlander.
  • A. Zeithain
    Zeithain is a municipality in the Free State of Saxony in eastern Germany, situated within the broader Leipzig metropolitan region.
  • B. Torday
    Torday is the surname of British novelist Paul Torday, best known for writing "Salmon Fishing in the Yemen."
  • C. Daag
    Daag is a 1973 Hindi romantic drama film, directed by Yash Chopra and starring Rajesh Khanna and Sharmila Tagore, known for its music and emotionally charged storyline.
  • D. Hodierna
    Hodierna is an Italian surname most notably associated with the 17th-century astronomer Giovanni Battista Hodierna.
  • E. Dias
    Dias is a Portuguese-language surname shared by numerous individuals, including notable figures in arts, sports, and public life.
  • 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_69d8b906482481908183315b9ecf9994 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4c1048c00819097c7dfbf76bb0987 completed April 19, 2026, 11:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a03566907988190aef2b0ceb2c9f4dc completed May 12, 2026, 4:33 p.m.
NEDg Description generation batch_6a03591fa4cc819084d1e50b7e5263cf completed May 12, 2026, 4:45 p.m.
NED2 Entity disambiguation (via description) batch_6a0359a3ead48190996d95ad5aaa2302 completed May 12, 2026, 4:47 p.m.
Created at: April 10, 2026, 10:26 a.m.