Triple

T4969784
Position Surface form Disambiguated ID Type / Status
Subject Aage Niels Bohr E111618 entity
Predicate givenName P17 FINISHED
Object Aage
Aage is a masculine given name of Scandinavian origin, commonly used in Denmark and Norway.
 E482694 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: Aage | Statement: [Aage Niels Bohr, givenName, Aage]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aage
Context triple: [Aage Niels Bohr, givenName, Aage]
  • A. Vilhelm
    Vilhelm is a masculine given name of Germanic origin, related to William and common in various Scandinavian and European countries.
  • B. Søren
    Søren is a masculine given name of Scandinavian origin, most famously borne by the Danish philosopher Søren Kierkegaard.
  • C. Hans Axgil
    Hans Axgil is a fictional character in the film "The Danish Girl," portrayed as a compassionate childhood friend and later love interest who supports Lili Elbe through her gender transition.
  • D. Borge
    Borge is a district and former municipality that is now part of the city of Fredrikstad in southeastern Norway.
  • E. Preben Kaas
    Preben Kaas was a Danish actor, comedian, and film director known for his prominent roles in Danish cinema and television during the mid-20th century.
  • 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: Aage
Triple: [Aage Niels Bohr, givenName, Aage]
Generated description
Aage is a masculine given name of Scandinavian origin, commonly used in Denmark and Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aage
Target entity description: Aage is a masculine given name of Scandinavian origin, commonly used in Denmark and Norway.
  • A. Vilhelm
    Vilhelm is a masculine given name of Germanic origin, related to William and common in various Scandinavian and European countries.
  • B. Søren
    Søren is a masculine given name of Scandinavian origin, most famously borne by the Danish philosopher Søren Kierkegaard.
  • C. Hans Axgil
    Hans Axgil is a fictional character in the film "The Danish Girl," portrayed as a compassionate childhood friend and later love interest who supports Lili Elbe through her gender transition.
  • D. Borge
    Borge is a district and former municipality that is now part of the city of Fredrikstad in southeastern Norway.
  • E. Preben Kaas
    Preben Kaas was a Danish actor, comedian, and film director known for his prominent roles in Danish cinema and television during the mid-20th century.
  • 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_69bd441a0eb481908050fa4273b19eae completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd721221b88190916feb9b4f049195 completed March 20, 2026, 4:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81f749fc8190ad4dc68f7e2086b1 completed March 21, 2026, 11:33 a.m.
NEDg Description generation batch_69be841943d481909c18ca8e8c758501 completed March 21, 2026, 11:42 a.m.
NED2 Entity disambiguation (via description) batch_69be848b0df88190aba28a258d8a706e completed March 21, 2026, 11:44 a.m.
Created at: March 20, 2026, 1:33 p.m.