Triple

T966180
Position Surface form Disambiguated ID Type / Status
Subject Princess Muna al-Hussein E20841 entity
Predicate givenName P17 FINISHED
Object Antoinette
Antoinette is the birth name of Princess Muna al-Hussein, the British-born mother of King Abdullah II of Jordan.
 E127032 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: Antoinette | Statement: [Princess Muna al-Hussein, givenName, Antoinette]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Antoinette
Context triple: [Princess Muna al-Hussein, givenName, Antoinette]
  • A. Estelle
    Estelle is a British singer, rapper, and songwriter best known for her hit single "American Boy" featuring Kanye West.
  • B. Marie
    Marie is a widely used European given name, especially common in French-speaking countries, derived from the Hebrew name Miryam (Mary).
  • C. Jane Avril
    Jane Avril is a famous poster by French artist Henri de Toulouse-Lautrec depicting the celebrated can-can dancer of the Moulin Rouge.
  • D. Carine
    Carine is a feminine given name, often considered a variant of names like Catherine or Karine, used in various European languages.
  • E. Camille Lefèvre
    Camille Lefèvre was a Swiss architect best known for co-designing the Palais des Nations, the former League of Nations headquarters in Geneva.
  • 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: Antoinette
Triple: [Princess Muna al-Hussein, givenName, Antoinette]
Generated description
Antoinette is the birth name of Princess Muna al-Hussein, the British-born mother of King Abdullah II of Jordan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Antoinette
Target entity description: Antoinette is the birth name of Princess Muna al-Hussein, the British-born mother of King Abdullah II of Jordan.
  • A. Estelle
    Estelle is a British singer, rapper, and songwriter best known for her hit single "American Boy" featuring Kanye West.
  • B. Marie
    Marie is a widely used European given name, especially common in French-speaking countries, derived from the Hebrew name Miryam (Mary).
  • C. Jane Avril
    Jane Avril is a famous poster by French artist Henri de Toulouse-Lautrec depicting the celebrated can-can dancer of the Moulin Rouge.
  • D. Carine
    Carine is a feminine given name, often considered a variant of names like Catherine or Karine, used in various European languages.
  • E. Camille Lefèvre
    Camille Lefèvre was a Swiss architect best known for co-designing the Palais des Nations, the former League of Nations headquarters in Geneva.
  • 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_69a493b33d2c81909c52c369d3ca8436 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b43412488190b68e33d2b36a0ba3 completed March 1, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4c0508348190b761b1cb40fd2ebc completed March 7, 2026, 4:02 p.m.
NEDg Description generation batch_69ac4d59d6e48190ae584c5505d583e2 completed March 7, 2026, 4:07 p.m.
NED2 Entity disambiguation (via description) batch_69ac4dc518cc8190a8eafd2eef7934d8 completed March 7, 2026, 4:09 p.m.
Created at: March 1, 2026, 7:40 p.m.