Triple

T9550766
Position Surface form Disambiguated ID Type / Status
Subject Charlotte E230414 entity
Predicate hasRelatedName P3889 FINISHED
Object Charlize
Charlize is a feminine given name, most famously borne by South African–born actress and producer Charlize Theron.
 E808376 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: Charlize | Statement: [Charlotte, hasRelatedName, Charlize]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Charlize
Context triple: [Charlotte, hasRelatedName, Charlize]
  • 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 fictional character played by English actress Kelly Reilly, known from her work in film and television dramas.
  • C. Nicole
    Nicole is a fictional character from the American sitcom "The Gregory Hines Show."
  • D. Nicole
    Nicole is a central character in Margaret Atwood's dystopian novel "The Testaments," whose story helps expose and challenge the oppressive regime of Gilead.
  • E. 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.
  • 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: Charlize
Triple: [Charlotte, hasRelatedName, Charlize]
Generated description
Charlize is a feminine given name, most famously borne by South African–born actress and producer Charlize Theron.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Charlize
Target entity description: Charlize is a feminine given name, most famously borne by South African–born actress and producer Charlize Theron.
  • 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 fictional character from the American sitcom "The Gregory Hines Show."
  • C. Nicole
    Nicole is a fictional character played by English actress Kelly Reilly, known from her work in film and television dramas.
  • D. 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.
  • E. Nicole
    Nicole is a central character in Margaret Atwood's dystopian novel "The Testaments," whose story helps expose and challenge the oppressive regime of Gilead.
  • 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_69ca847d3be8819099c9dad2a7e786f1 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd991df7308190a56d95f195627513 completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1613b16dc8190b00a45596ccd7fbc completed April 4, 2026, 7:06 p.m.
NEDg Description generation batch_69d161f4c7588190bbc9c022f84853e1 completed April 4, 2026, 7:09 p.m.
NED2 Entity disambiguation (via description) batch_69d16258580c8190896bf0a4655d35f7 completed April 4, 2026, 7:11 p.m.
Created at: March 30, 2026, 8:02 p.m.