Triple

T10131324
Position Surface form Disambiguated ID Type / Status
Subject Ellise Chappell E226344 entity
Predicate givenName P17 FINISHED
Object Ellise
Ellise is a feminine given name used in English-speaking countries, often considered a variant of Elise or Alice.
 E844484 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: Ellise | Statement: [Ellise Chappell, givenName, Ellise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ellise
Context triple: [Ellise Chappell, givenName, Ellise]
  • A. Tessa
    Tessa is a feminine given name commonly used in English-speaking countries, often as a diminutive of Theresa or Therese.
  • B. Elicia
    Elicia is a secondary character in the Spanish tragicomedy "La Celestina," depicted as a young prostitute and companion of Celestina who contributes to the work’s themes of desire, greed, and social corruption.
  • C. Elly
    Elly is a feminine given name used in various cultures, often as a diminutive of names like Elisabeth or Eleanor.
  • D. Tamsin
    Tamsin is a feminine given name of English origin, often associated with actresses and public figures such as Tamsin Egerton.
  • E. Ellah
    Ellah is a given name, typically used as a feminine variant of the name Ella.
  • 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: Ellise
Triple: [Ellise Chappell, givenName, Ellise]
Generated description
Ellise is a feminine given name used in English-speaking countries, often considered a variant of Elise or Alice.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ellise
Target entity description: Ellise is a feminine given name used in English-speaking countries, often considered a variant of Elise or Alice.
  • A. Tessa
    Tessa is a feminine given name commonly used in English-speaking countries, often as a diminutive of Theresa or Therese.
  • B. Elicia
    Elicia is a secondary character in the Spanish tragicomedy "La Celestina," depicted as a young prostitute and companion of Celestina who contributes to the work’s themes of desire, greed, and social corruption.
  • C. Elly
    Elly is a feminine given name used in various cultures, often as a diminutive of names like Elisabeth or Eleanor.
  • D. Tamsin
    Tamsin is a feminine given name of English origin, often associated with actresses and public figures such as Tamsin Egerton.
  • E. Ellah
    Ellah is a given name, typically used as a feminine variant of the name Ella.
  • 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_69ca843057b48190a86730167f5d6b98 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdd33557a88190b5fb1938646d8532 completed April 2, 2026, 2:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e5ce3fcc8190b1d07dbba34d6bff completed April 5, 2026, 10:44 p.m.
NEDg Description generation batch_69d2e9eaf4f88190b9e18d0e1793b2c9 completed April 5, 2026, 11:02 p.m.
NED2 Entity disambiguation (via description) batch_69d2ea4020888190a544ccc771ac600e completed April 5, 2026, 11:03 p.m.
Created at: March 30, 2026, 9:06 p.m.