Triple

T9094874
Position Surface form Disambiguated ID Type / Status
Subject Renee Gadd E217990 entity
Predicate givenName P17 FINISHED
Object Renee
Renee is a feminine given name of French origin, commonly used in English- and French-speaking countries.
 E784370 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: Renee | Statement: [Renee Gadd, givenName, Renee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Renee
Context triple: [Renee Gadd, givenName, Renee]
  • A. Madelaine
    Madelaine is a character in the Danish crime thriller film "The Salvation."
  • B. Adrienne
    Adrienne is a feminine given name of French origin, commonly used in English- and French-speaking countries.
  • C. Suzanne
    "Suzanne" is a renowned song by Leonard Cohen, celebrated for its poetic lyrics and haunting melody.
  • D. Suzanne
    Suzanne is a feminine given name of French origin, derived from the Hebrew name Shoshannah meaning “lily.”
  • E. 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.
  • 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: Renee
Triple: [Renee Gadd, givenName, Renee]
Generated description
Renee is a feminine given name of French origin, commonly used in English- and French-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Renee
Target entity description: Renee is a feminine given name of French origin, commonly used in English- and French-speaking countries.
  • A. Madelaine
    Madelaine is a character in the Danish crime thriller film "The Salvation."
  • B. Adrienne
    Adrienne is a feminine given name of French origin, commonly used in English- and French-speaking countries.
  • C. Suzanne
    "Suzanne" is a renowned song by Leonard Cohen, celebrated for its poetic lyrics and haunting melody.
  • D. Suzanne
    Suzanne is a feminine given name of French origin, derived from the Hebrew name Shoshannah meaning “lily.”
  • E. 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.
  • 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_69ca83d9844081908e561e367fda6d45 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc96b4a2e0819092f4eae8b1d21f33 completed April 1, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05bed784c8190aa538a037bb2eeb8 completed April 4, 2026, 12:31 a.m.
NEDg Description generation batch_69d05fca234481909a1b6547e014f2d6 completed April 4, 2026, 12:48 a.m.
NED2 Entity disambiguation (via description) batch_69d05feb2cc48190983d538b2a88b620 completed April 4, 2026, 12:48 a.m.
Created at: March 30, 2026, 7:14 p.m.