Triple

T6059400
Position Surface form Disambiguated ID Type / Status
Subject Juliet Pierpont Morgan E134995 entity
Predicate givenName P17 FINISHED
Object Juliet
Juliet is a feminine given name of Latin origin, commonly associated with Shakespeare’s tragic heroine in "Romeo and Juliet."
 E286397 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: Juliet | Statement: [Juliet Pierpont Morgan, givenName, Juliet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Juliet
Context triple: [Juliet Pierpont Morgan, givenName, Juliet]
  • A. Juliet Capulet
    Juliet Capulet is the young heroine of William Shakespeare’s tragedy "Romeo and Juliet," renowned as one half of literature’s most famous star-crossed lovers.
  • B. Lady Capulet
    Lady Capulet is Juliet’s mother in Shakespeare’s tragedy "Romeo and Juliet," a noblewoman of Verona whose concern for status and tradition contributes to the play’s familial conflict.
  • C. Romeo
    Romeo is a small statutory town located in Conejos County in southern Colorado, United States.
  • D. Rosaline
    Rosaline is a witty and sharp-tongued lady-in-waiting in Shakespeare’s comedy "Love’s Labour’s Lost," known for her clever banter and role as the object of Berowne’s affection.
  • E. Juliette
    Juliette is a feminine given name of French origin, widely used in many countries and popularized through literature and film.
  • 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: Juliet
Triple: [Juliet Pierpont Morgan, givenName, Juliet]
Generated description
Juliet is a feminine given name of Latin origin, commonly associated with Shakespeare’s tragic heroine in "Romeo and Juliet."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Juliet
Target entity description: Juliet is a feminine given name of Latin origin, commonly associated with Shakespeare’s tragic heroine in "Romeo and Juliet."
  • A. Juliet Capulet chosen
    Juliet Capulet is the young heroine of William Shakespeare’s tragedy "Romeo and Juliet," renowned as one half of literature’s most famous star-crossed lovers.
  • B. Lady Capulet
    Lady Capulet is Juliet’s mother in Shakespeare’s tragedy "Romeo and Juliet," a noblewoman of Verona whose concern for status and tradition contributes to the play’s familial conflict.
  • C. Romeo
    Romeo is a small statutory town located in Conejos County in southern Colorado, United States.
  • D. Rosaline
    Rosaline is a witty and sharp-tongued lady-in-waiting in Shakespeare’s comedy "Love’s Labour’s Lost," known for her clever banter and role as the object of Berowne’s affection.
  • E. Juliette
    Juliette is a feminine given name of French origin, widely used in many countries and popularized through literature and film.
  • F. None of above.

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_69c00878d06881909ee78e88913bf890 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0571e479c8190bec0e1439b4cf68f completed March 22, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d13627081908a4b1d758ecb8ddc completed March 23, 2026, 10:59 a.m.
NEDg Description generation batch_69c11da387dc819088fc37ea1c3daed8 completed March 23, 2026, 11:01 a.m.
NED2 Entity disambiguation (via description) batch_69c11e5efd848190adb834e42b4bdc9e completed March 23, 2026, 11:05 a.m.
Created at: March 22, 2026, 4:10 p.m.