Triple

T22560650
Position Surface form Disambiguated ID Type / Status
Subject Nicolette Larson E557804 entity
Predicate givenName P17 FINISHED
Object Nicolette
Nicolette is a feminine given name, often associated with the English-language form of the French name Nicolette and borne by various notable figures in arts and entertainment.
 E1544631 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: Nicolette | Statement: [Nicolette Larson, givenName, Nicolette]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nicolette
Context triple: [Nicolette Larson, givenName, Nicolette]
  • A. Nicole
    Nicole is a feminine given name of Greek origin meaning "victory of the people," commonly used in many English- and French-speaking countries.
  • B. Nicole
    Nicole is a sharp-tongued, down-to-earth maid in Molière’s comedy "Le Bourgeois gentilhomme," often serving as a voice of reason and satire against her master’s pretensions.
  • C. Nicole
    Nicole is a fictional character from the American sitcom "The Gregory Hines Show."
  • D. Nicole
    Nicole is a fictional character portrayed by Canadian actress Lindy Booth.
  • E. Nicole
    Nicole is a central character in the dark comedy-drama film "Hesher," serving as a key emotional anchor in the story’s exploration of grief and unconventional relationships.
  • 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: Nicolette
Triple: [Nicolette Larson, givenName, Nicolette]
Generated description
Nicolette is a feminine given name, often associated with the English-language form of the French name Nicolette and borne by various notable figures in arts and entertainment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nicolette
Target entity description: Nicolette is a feminine given name, often associated with the English-language form of the French name Nicolette and borne by various notable figures in arts and entertainment.
  • A. Nicole
    Nicole is a feminine given name of Greek origin meaning "victory of the people," commonly used in many English- and French-speaking countries.
  • B. Nicole
    Nicole is a central character in the dark comedy-drama film "Hesher," serving as a key emotional anchor in the story’s exploration of grief and unconventional relationships.
  • C. Nicole
    Nicole is a sharp-tongued, down-to-earth maid in Molière’s comedy "Le Bourgeois gentilhomme," often serving as a voice of reason and satire against her master’s pretensions.
  • D. Nicole
    Nicole is a fictional character portrayed by Canadian actress Lindy Booth.
  • E. Nicole
    Nicole is a main character on the sitcom "LA to Vegas," known as a spirited stripper who works on the regular budget airline flight between Los Angeles and Las Vegas.
  • 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_69e11e59db848190b4272ecd2b690ffd completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15fa5f4008190921095b7aff4f4e2 completed April 29, 2026, 1:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b3d4dffd08190a506137e1bac366a completed May 18, 2026, 4:24 p.m.
NEDg Description generation batch_6a0b3f078d7c8190ac84e8bf1726115f completed May 18, 2026, 4:32 p.m.
NED2 Entity disambiguation (via description) batch_6a0b3f8d85cc8190812924d466d18735 completed May 18, 2026, 4:34 p.m.
Created at: April 16, 2026, 8:52 p.m.