Triple

T16716660
Position Surface form Disambiguated ID Type / Status
Subject Wendie Malick E406242 entity
Predicate givenName P17 FINISHED
Object Wendie
Wendie is a feminine given name most notably borne by American actress Wendie Malick.
 E1228947 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: Wendie | Statement: [Wendie Malick, givenName, Wendie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wendie
Context triple: [Wendie Malick, givenName, Wendie]
  • A. Vina Wray
    Vina Wray is an alternate name for Fay Wray, the Canadian-American actress best known for her iconic role in the 1933 film "King Kong."
  • B. Raquel Cassidy
    Raquel Cassidy is a British actress known for her roles in television series such as Downton Abbey and Lead Balloon.
  • C. Sandra
    Sandra is a 1965 Italian drama film by Luchino Visconti, noted for its modern reworking of the Electra myth and its exploration of family secrets and guilt.
  • D. Sandra
    Sandra is a German pop singer best known for her 1980s Eurodisco hits such as "Maria Magdalena" and "In the Heat of the Night."
  • E. Sandra
    Sandra is a fictional character portrayed by English actress Annabelle Wallis.
  • 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: Wendie
Triple: [Wendie Malick, givenName, Wendie]
Generated description
Wendie is a feminine given name most notably borne by American actress Wendie Malick.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wendie
Target entity description: Wendie is a feminine given name most notably borne by American actress Wendie Malick.
  • A. Vina Wray
    Vina Wray is an alternate name for Fay Wray, the Canadian-American actress best known for her iconic role in the 1933 film "King Kong."
  • B. Raquel Cassidy
    Raquel Cassidy is a British actress known for her roles in television series such as Downton Abbey and Lead Balloon.
  • C. Sandra
    Sandra is the given name of Sandra Day O’Connor, the first woman to serve as a Justice on the United States Supreme Court.
  • D. Sandra
    Sandra is a 1965 Italian drama film by Luchino Visconti, noted for its modern reworking of the Electra myth and its exploration of family secrets and guilt.
  • E. Sandra
    Sandra is a feminine given name of Greek origin meaning "defender of mankind," commonly used in many English-speaking and European countries.
  • 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_69d8838f242881908abd8bc138795886 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e38656b66081909f2c2a8971c45aee completed April 18, 2026, 1:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0091ab9e54819097e71ce1616b28b5 completed May 10, 2026, 2:09 p.m.
NEDg Description generation batch_6a00923f1da08190b6b2c869284099bc completed May 10, 2026, 2:12 p.m.
NED2 Entity disambiguation (via description) batch_6a00931aa1d88190a0775e74779b3a6b completed May 10, 2026, 2:15 p.m.
Created at: April 10, 2026, 5:20 a.m.