Triple

T7149512
Position Surface form Disambiguated ID Type / Status
Subject Suzanne Brigit Bird E166656 entity
Predicate givenName P17 FINISHED
Object Suzanne
Suzanne is a feminine given name of French origin, derived from the Hebrew name Shoshannah meaning “lily.”
 E655678 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: Suzanne | Statement: [Suzanne Brigit Bird, givenName, Suzanne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Suzanne
Context triple: [Suzanne Brigit Bird, givenName, Suzanne]
  • A. Suzanne
    "Suzanne" is a renowned song by Leonard Cohen, celebrated for its poetic lyrics and haunting melody.
  • B. Suzanne
    Suzanne is a central character in Steve Martin’s play "Picasso at the Lapin Agile," representing a young woman entangled romantically with both Picasso and other men in the bohemian Parisian setting.
  • C. Suzie
    Suzie is a brilliant, tech-savvy girl from Stranger Things who helps Dustin Henderson and his friends by providing crucial scientific and hacking assistance.
  • D. Susanna
    Susanna is a deuterocanonical addition to the Book of Daniel, telling the story of a virtuous woman falsely accused of adultery and vindicated by the prophet Daniel.
  • E. Susanna
    Susanna is a feminine given name of Hebrew origin, commonly used in various European languages and cultures.
  • 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: Suzanne
Triple: [Suzanne Brigit Bird, givenName, Suzanne]
Generated description
Suzanne is a feminine given name of French origin, derived from the Hebrew name Shoshannah meaning “lily.”
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Suzanne
Target entity description: Suzanne is a feminine given name of French origin, derived from the Hebrew name Shoshannah meaning “lily.”
  • A. Suzanne
    "Suzanne" is a renowned song by Leonard Cohen, celebrated for its poetic lyrics and haunting melody.
  • B. Suzanne
    Suzanne is a central character in Steve Martin’s play "Picasso at the Lapin Agile," representing a young woman entangled romantically with both Picasso and other men in the bohemian Parisian setting.
  • C. Suzie
    Suzie is a brilliant, tech-savvy girl from Stranger Things who helps Dustin Henderson and his friends by providing crucial scientific and hacking assistance.
  • D. Susanna
    Susanna is a deuterocanonical addition to the Book of Daniel, telling the story of a virtuous woman falsely accused of adultery and vindicated by the prophet Daniel.
  • E. Susanna
    Susanna is a feminine given name of Hebrew origin, commonly used in various European languages and cultures.
  • 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_69c68886779c8190a8e3fbabffe68253 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e7f130e08190bc5ca99f90f9de92 completed March 27, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e510cb488190abde1c66e2fa4db4 completed March 28, 2026, 2:26 p.m.
NEDg Description generation batch_69c7e61a517081909fd5dedb8b9c58f0 completed March 28, 2026, 2:30 p.m.
NED2 Entity disambiguation (via description) batch_69c7e79dabc08190b486660def5d6c9e completed March 28, 2026, 2:37 p.m.
Created at: March 27, 2026, 2:46 p.m.