Triple

T2611283
Position Surface form Disambiguated ID Type / Status
Subject Princess Alexia of the Netherlands E58779 entity
Predicate givenName P17 FINISHED
Object Alexia
Alexia is a Dutch princess, the second daughter of King Willem-Alexander and Queen Máxima of the Netherlands.
E281350 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: Alexia | Statement: [Princess Alexia of the Netherlands, givenName, Alexia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexia
Context triple: [Princess Alexia of the Netherlands, givenName, Alexia]
  • A. Alectura
    Alectura is a genus of large, ground-dwelling Australian birds in the megapode family, best known for the brush-turkey.
  • B. Ilana
    Ilana is a fictional character associated with the work titled "Dawn."
  • C. Lea
    Lea is a given name used across various cultures, often as a variant of Leah or Léa.
  • D. Tessa
    Tessa is a feminine given name commonly used in English-speaking countries, often as a diminutive of Theresa or Therese.
  • E. Laleia
    Laleia is a town in northern Timor-Leste known as the birthplace of independence leader and former president Xanana Gusmão.
  • 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: Alexia
Triple: [Princess Alexia of the Netherlands, givenName, Alexia]
Generated description
Alexia is a Dutch princess, the second daughter of King Willem-Alexander and Queen Máxima of the Netherlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Alexia
Target entity description: Alexia is a Dutch princess, the second daughter of King Willem-Alexander and Queen Máxima of the Netherlands.
  • A. Alectura
    Alectura is a genus of large, ground-dwelling Australian birds in the megapode family, best known for the brush-turkey.
  • B. Ilana
    Ilana is a fictional character associated with the work titled "Dawn."
  • C. Lea
    Lea is a given name used across various cultures, often as a variant of Leah or Léa.
  • D. Tessa
    Tessa is a feminine given name commonly used in English-speaking countries, often as a diminutive of Theresa or Therese.
  • E. Laleia
    Laleia is a town in northern Timor-Leste known as the birthplace of independence leader and former president Xanana Gusmão.
  • 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_69ab4ac3523881909679750c9f8c2dec completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd87b24e48190ad1d4ce7e63c0f3e completed March 7, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69af83e506188190b6cd3b507dfc353c completed March 10, 2026, 2:37 a.m.
NEDg Description generation batch_69af846b59508190b6f7f9b266123be0 completed March 10, 2026, 2:39 a.m.
NED2 Entity disambiguation (via description) batch_69af850fe6008190bf6c7c64d1078a50 completed March 10, 2026, 2:42 a.m.
Created at: March 6, 2026, 9:50 p.m.