Triple

T8309441
Position Surface form Disambiguated ID Type / Status
Subject LaTanya Richardson Jackson E194552 entity
Predicate givenName P17 FINISHED
Object LaTanya
LaTanya is a feminine given name most notably borne by American actress and producer LaTanya Richardson Jackson.
 E725041 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: LaTanya | Statement: [LaTanya Richardson Jackson, givenName, LaTanya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LaTanya
Context triple: [LaTanya Richardson Jackson, givenName, LaTanya]
  • A. LaTisha
    LaTisha is a fictional female protagonist, likely a young woman or girl, who serves as the central focus of the story.
  • B. LaToya
    LaToya is a feminine given name most notably associated with American singer and actress LaToya London.
  • C. Dameisha
    Dameisha is a popular coastal area in Shenzhen, China, best known for its long sandy beach, seaside resorts, and recreational attractions.
  • D. Shameika
    "Shameika" is a critically acclaimed song by American singer-songwriter Fiona Apple from her 2020 album "Fetch the Bolt Cutters," noted for its unconventional structure and autobiographical lyrics about childhood resilience.
  • E. Tanisha Wright
    Tanisha Wright is a former American professional basketball player and coach known for her standout perimeter defense and leadership during a long WNBA career.
  • 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: LaTanya
Triple: [LaTanya Richardson Jackson, givenName, LaTanya]
Generated description
LaTanya is a feminine given name most notably borne by American actress and producer LaTanya Richardson Jackson.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LaTanya
Target entity description: LaTanya is a feminine given name most notably borne by American actress and producer LaTanya Richardson Jackson.
  • A. LaTisha
    LaTisha is a fictional female protagonist, likely a young woman or girl, who serves as the central focus of the story.
  • B. LaToya
    LaToya is a feminine given name most notably associated with American singer and actress LaToya London.
  • C. Dameisha
    Dameisha is a popular coastal area in Shenzhen, China, best known for its long sandy beach, seaside resorts, and recreational attractions.
  • D. Shameika
    "Shameika" is a critically acclaimed song by American singer-songwriter Fiona Apple from her 2020 album "Fetch the Bolt Cutters," noted for its unconventional structure and autobiographical lyrics about childhood resilience.
  • E. Tanisha Wright
    Tanisha Wright is a former American professional basketball player and coach known for her standout perimeter defense and leadership during a long WNBA career.
  • 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_69ca82e613e88190bf8139669bbd0d53 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f2d2c30819095075940479b75a7 completed March 31, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd95665390819089c8becad018cf51 completed April 1, 2026, 10 p.m.
NEDg Description generation batch_69cda62070888190b55b3f54d29e28e7 completed April 1, 2026, 11:11 p.m.
NED2 Entity disambiguation (via description) batch_69cdb21a65d88190a19dd41f95d173c8 completed April 2, 2026, 12:02 a.m.
Created at: March 30, 2026, 5:54 p.m.