Triple

T20748075
Position Surface form Disambiguated ID Type / Status
Subject Lisette Caron E510640 entity
Predicate givenName P17 FINISHED
Object Lisette
Lisette is a feminine given name of French origin, often used in French-speaking countries and communities.
 E980760 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: Lisette | Statement: [Lisette Caron, givenName, Lisette]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lisette
Context triple: [Lisette Caron, givenName, Lisette]
  • A. Lisette
    Lisette is a character in Giacomo Puccini's opera "La rondine," serving as the maid and comic counterpart to the heroine, Magda.
  • B. Lizette
    Lizette is the nickname of American actress Elizabeth Rooney Mara, known for her roles in films like "The Girl with the Dragon Tattoo" and "Carol."
  • C. Marisabel
    Marisabel is a feminine given name of Spanish origin, commonly used in Spanish-speaking countries.
  • D. Rosita
    Rosita is a companion character who appears alongside the Doctor in the "Doctor Who" special episode "The Next Doctor."
  • E. Rosita
    Rosita is a shy but talented pig and devoted mother who becomes a standout performer in the animated musical film "Sing."
  • 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: Lisette
Triple: [Lisette Caron, givenName, Lisette]
Generated description
Lisette is a feminine given name of French origin, often used in French-speaking countries and communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lisette
Target entity description: Lisette is a feminine given name of French origin, often used in French-speaking countries and communities.
  • A. Lisette chosen
    Lisette is a character in Giacomo Puccini's opera "La rondine," serving as the maid and comic counterpart to the heroine, Magda.
  • B. Lizette
    Lizette is the nickname of American actress Elizabeth Rooney Mara, known for her roles in films like "The Girl with the Dragon Tattoo" and "Carol."
  • C. Marisabel
    Marisabel is a feminine given name of Spanish origin, commonly used in Spanish-speaking countries.
  • D. Rosita
    Rosita is a companion character who appears alongside the Doctor in the "Doctor Who" special episode "The Next Doctor."
  • E. Rosita
    Rosita is a bilingual, turquoise monster Muppet on Sesame Street known for introducing Spanish language and Latino culture to the show.
  • 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_69e0b4c845e88190b4c5f3ae79291182 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c226fbf881909794eff3ee9e206b completed April 21, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08ef80099081908a25efdf0c9d3991 completed May 16, 2026, 10:28 p.m.
NEDg Description generation batch_6a08f1c8a1b08190b8d0f3e84a195ef5 completed May 16, 2026, 10:38 p.m.
NED2 Entity disambiguation (via description) batch_6a08f22a69348190869d69ec6144f85e completed May 16, 2026, 10:39 p.m.
Created at: April 16, 2026, 12:33 p.m.