Triple

T1481237
Position Surface form Disambiguated ID Type / Status
Subject Antoinette Perry E30960 entity
Predicate givenName P17 FINISHED
Object Antoinette
Antoinette is a feminine given name of French origin, historically associated with nobility and later borne by various notable figures in the arts and public life.
 E182168 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: [Antoinette Perry, givenName, Antoinette]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Antoinette
Context triple: [Antoinette Perry, givenName, Antoinette]
  • A. Antoinette
    Antoinette is the birth name of Princess Muna al-Hussein, the British-born mother of King Abdullah II of Jordan.
  • B. Renée
    Renée is a feminine given name of French origin, commonly used in French-speaking countries and beyond.
  • C. Françoise
    Françoise is the given name of Louise de La Vallière, a 17th-century French noblewoman best known as a mistress of King Louis XIV.
  • D. Estelle
    Estelle is a British singer, rapper, and songwriter best known for her hit single "American Boy" featuring Kanye West.
  • E. Antoinette de Mauban
    Antoinette de Mauban is a sophisticated and morally conflicted noblewoman in Anthony Hope’s adventure novel "The Prisoner of Zenda," whose shifting loyalties significantly influence the political intrigue of the story.
  • 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: [Antoinette Perry, givenName, Antoinette]
Generated description
Antoinette is a feminine given name of French origin, historically associated with nobility and later borne by various notable figures in the arts and public life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Antoinette
Target entity description: Antoinette is a feminine given name of French origin, historically associated with nobility and later borne by various notable figures in the arts and public life.
  • A. Antoinette
    Antoinette is the birth name of Princess Muna al-Hussein, the British-born mother of King Abdullah II of Jordan.
  • B. Renée
    Renée is a feminine given name of French origin, commonly used in French-speaking countries and beyond.
  • C. Françoise
    Françoise is the given name of Louise de La Vallière, a 17th-century French noblewoman best known as a mistress of King Louis XIV.
  • D. Estelle
    Estelle is a British singer, rapper, and songwriter best known for her hit single "American Boy" featuring Kanye West.
  • E. Antoinette de Mauban
    Antoinette de Mauban is a sophisticated and morally conflicted noblewoman in Anthony Hope’s adventure novel "The Prisoner of Zenda," whose shifting loyalties significantly influence the political intrigue of the story.
  • 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_69a498fe55a88190ab7f9e40ace88e49 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c67699848190852e376efe22737c completed March 1, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad51a514908190b782eb1ca98d5b4c completed March 8, 2026, 10:38 a.m.
NEDg Description generation batch_69ad525e5c908190bad4fc58342c3ef2 completed March 8, 2026, 10:41 a.m.
NED2 Entity disambiguation (via description) batch_69ad52bfdbec81908f7240c46ce11888 completed March 8, 2026, 10:43 a.m.
Created at: March 1, 2026, 8:11 p.m.