Triple

T23443402
Position Surface form Disambiguated ID Type / Status
Subject Kim Possible E565466 entity
Predicate hasSupportingCharacter P7748 FINISHED
Object Monique
Monique is a stylish, witty friend and ally of Kim Possible who often provides advice, support, and comic relief throughout the animated series.
 E1586634 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: Monique | Statement: [Kim Possible, hasSupportingCharacter, Monique]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Monique
Context triple: [Kim Possible, hasSupportingCharacter, Monique]
  • A. Monique
    Monique is the given name of the American comedian and Academy Award–winning actress Mo'Nique.
  • B. Monique Isnardon
    Monique Isnardon is a film editor known for her work on the French comedy "L'Emmerdeur."
  • C. Monique Faye
    Monique Faye is known as the wife of acclaimed German actor Mario Adorf.
  • D. Mónica
    Mónica is the given name of Spanish singer and songwriter Mónica Naranjo, known for her powerful voice and dramatic pop music style.
  • E. Rachel, Monique
    "Rachel, Monique" is a conceptual art project by Sophie Calle centered on her mother’s life, identity, and death, combining text, photography, and installation to explore memory and loss.
  • 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: Monique
Triple: [Kim Possible, hasSupportingCharacter, Monique]
Generated description
Monique is a stylish, witty friend and ally of Kim Possible who often provides advice, support, and comic relief throughout the animated series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Monique
Target entity description: Monique is a stylish, witty friend and ally of Kim Possible who often provides advice, support, and comic relief throughout the animated series.
  • A. Monique
    Monique is the given name of the American comedian and Academy Award–winning actress Mo'Nique.
  • B. Monique Isnardon
    Monique Isnardon is a film editor known for her work on the French comedy "L'Emmerdeur."
  • C. Monique Faye
    Monique Faye is known as the wife of acclaimed German actor Mario Adorf.
  • D. Mónica
    Mónica is the given name of Spanish singer and songwriter Mónica Naranjo, known for her powerful voice and dramatic pop music style.
  • E. Rachel, Monique
    "Rachel, Monique" is a conceptual art project by Sophie Calle centered on her mother’s life, identity, and death, combining text, photography, and installation to explore memory and loss.
  • 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_69e24584f9488190bb32730bd2ce023e completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a64717d08190a2c25e7bbfc17a2f completed April 29, 2026, 6:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c67b583fc8190941de49b824f9c98 completed May 19, 2026, 1:37 p.m.
NEDg Description generation batch_6a0c7217edc881909f582f0c726d7e61 completed May 19, 2026, 2:22 p.m.
NED2 Entity disambiguation (via description) batch_6a0c76ed37b08190af81b4ae2dc7c028 completed May 19, 2026, 2:42 p.m.
Created at: April 17, 2026, 5:51 p.m.