Triple

T11368363
Position Surface form Disambiguated ID Type / Status
Subject Vinessa Shaw E269274 entity
Predicate givenName P17 FINISHED
Object Vinessa
Vinessa is the distinctive given name of American actress and model Vinessa Shaw.
 E921725 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: Vinessa | Statement: [Vinessa Shaw, givenName, Vinessa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vinessa
Context triple: [Vinessa Shaw, givenName, Vinessa]
  • A. Vivica
    Vivica is the first name of American actress and producer Vivica A. Fox, known for her roles in film and television since the 1990s.
  • B. Sheilia
    Sheilia is a feminine given name, typically considered an alternative spelling of the name Sheila.
  • C. Vonetta
    Vonetta is a feminine given name most notably borne by American bobsledder and Olympic gold medalist Vonetta Flowers.
  • D. Vanessa
    Vanessa is the enigmatic, emotionally complex woman at the center of the film "By the Sea," whose inner turmoil drives the story’s exploration of marriage and personal grief.
  • E. Vanessa
    Vanessa is an English feminine given name that gained wider recognition through public figures such as Vanessa Trump.
  • 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: Vinessa
Triple: [Vinessa Shaw, givenName, Vinessa]
Generated description
Vinessa is the distinctive given name of American actress and model Vinessa Shaw.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vinessa
Target entity description: Vinessa is the distinctive given name of American actress and model Vinessa Shaw.
  • A. Vivica
    Vivica is the first name of American actress and producer Vivica A. Fox, known for her roles in film and television since the 1990s.
  • B. Sheilia
    Sheilia is a feminine given name, typically considered an alternative spelling of the name Sheila.
  • C. Vonetta
    Vonetta is a feminine given name most notably borne by American bobsledder and Olympic gold medalist Vonetta Flowers.
  • D. Vanessa
    Vanessa is the enigmatic, emotionally complex woman at the center of the film "By the Sea," whose inner turmoil drives the story’s exploration of marriage and personal grief.
  • E. Vanessa
    Vanessa is an English feminine given name that gained wider recognition through public figures such as Vanessa Trump.
  • 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea89e1148190b0ca29db9d7e2cbd completed April 9, 2026, 6:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e556718fc481908543ed4bc5fe3d6e completed April 19, 2026, 10:25 p.m.
NEDg Description generation batch_69e562c6e7c8819098d22a6e0daa4a51 completed April 19, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_69e56a472f0c819086c1cccaa5ca0ae7 completed April 19, 2026, 11:50 p.m.
Created at: April 8, 2026, 9:33 p.m.