Triple

T7462989
Position Surface form Disambiguated ID Type / Status
Subject Michaëlle Jean E176296 entity
Predicate givenName P17 FINISHED
Object Michaëlle
Michaëlle is a feminine given name most notably borne by Michaëlle Jean, the former Governor General of Canada.
 E666368 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: Michaëlle | Statement: [Michaëlle Jean, givenName, Michaëlle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Michaëlle
Context triple: [Michaëlle Jean, givenName, Michaëlle]
  • A. Michel'le
    Michel'le is an American R&B singer known for her distinctive high-pitched speaking voice and late-1980s and early-1990s hits such as "No More Lies."
  • B. Madelaine
    Madelaine is a character in the Danish crime thriller film "The Salvation."
  • C. Nadine
    Nadine is a feminine given name used in various cultures, often associated with the meaning "hope."
  • D. Nadine
    "Nadine" is a classic 1964 rock and roll song by Chuck Berry, known for its vivid storytelling and driving guitar riff.
  • E. Alicia Landry
    Alicia Landry is the widow of legendary Dallas Cowboys head coach Tom Landry and was known for her active role in charitable and community work alongside him.
  • 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: Michaëlle
Triple: [Michaëlle Jean, givenName, Michaëlle]
Generated description
Michaëlle is a feminine given name most notably borne by Michaëlle Jean, the former Governor General of Canada.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Michaëlle
Target entity description: Michaëlle is a feminine given name most notably borne by Michaëlle Jean, the former Governor General of Canada.
  • A. Michel'le
    Michel'le is an American R&B singer known for her distinctive high-pitched speaking voice and late-1980s and early-1990s hits such as "No More Lies."
  • B. Madelaine
    Madelaine is a character in the Danish crime thriller film "The Salvation."
  • C. Nadine
    Nadine is a feminine given name used in various cultures, often associated with the meaning "hope."
  • D. Nadine
    "Nadine" is a classic 1964 rock and roll song by Chuck Berry, known for its vivid storytelling and driving guitar riff.
  • E. Alicia Landry
    Alicia Landry is the widow of legendary Dallas Cowboys head coach Tom Landry and was known for her active role in charitable and community work alongside him.
  • 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_69c69f21632481908bf83f6c6da897e3 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f3d80ae08190ba383066cf0cb2ce completed March 27, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83464fc48819086f206f4d6b840ab completed March 28, 2026, 8:04 p.m.
NEDg Description generation batch_69c8355f75908190ae3716f9dbff27ef completed March 28, 2026, 8:09 p.m.
NED2 Entity disambiguation (via description) batch_69c83621b32c8190bd4b289b5f9f1764 completed March 28, 2026, 8:12 p.m.
Created at: March 27, 2026, 3:39 p.m.