Triple

T7453889
Position Surface form Disambiguated ID Type / Status
Subject Ricky Gervais E172070 entity
Predicate hasSibling P363 FINISHED
Object Marsha Gervais
Marsha Gervais is known as the sister of British comedian, actor, and writer Ricky Gervais.
 E676857 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: Marsha Gervais | Statement: [Ricky Gervais, hasSibling, Marsha Gervais]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marsha Gervais
Context triple: [Ricky Gervais, hasSibling, Marsha Gervais]
  • A. Valerie LaPointe
    Valerie LaPointe is an American storyboard artist, writer, and director best known for her story work at Pixar, including on Toy Story 4.
  • B. Ann Gillis
    Ann Gillis was an American child actress of the 1930s and 1940s, best known for her roles in classic Hollywood films and for voicing the adult Faline in Disney's "Bambi."
  • C. Marcia Manon
    Marcia Manon was a silent film actress active in the 1910s and 1920s, known for her supporting roles in American dramas and melodramas.
  • D. Maureen Swanson
    Maureen Swanson was a British actress active in the 1950s, known for her roles in comedy and drama films before later becoming the Countess of Dudley.
  • E. Sharon Hugueny
    Sharon Hugueny was an American film and television actress active in the 1960s, known for roles in teen-oriented movies and guest appearances on popular TV series.
  • 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: Marsha Gervais
Triple: [Ricky Gervais, hasSibling, Marsha Gervais]
Generated description
Marsha Gervais is known as the sister of British comedian, actor, and writer Ricky Gervais.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marsha Gervais
Target entity description: Marsha Gervais is known as the sister of British comedian, actor, and writer Ricky Gervais.
  • A. Valerie LaPointe
    Valerie LaPointe is an American storyboard artist, writer, and director best known for her story work at Pixar, including on Toy Story 4.
  • B. Ann Gillis
    Ann Gillis was an American child actress of the 1930s and 1940s, best known for her roles in classic Hollywood films and for voicing the adult Faline in Disney's "Bambi."
  • C. Marcia Manon
    Marcia Manon was a silent film actress active in the 1910s and 1920s, known for her supporting roles in American dramas and melodramas.
  • D. Maureen Swanson
    Maureen Swanson was a British actress active in the 1950s, known for her roles in comedy and drama films before later becoming the Countess of Dudley.
  • E. Sharon Hugueny
    Sharon Hugueny was an American film and television actress active in the 1960s, known for roles in teen-oriented movies and guest appearances on popular TV series.
  • 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_69c68a66554c8190add75c65942c0317 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f3ac5c2081908ab03f8bd4586f94 completed March 27, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8682c7c64819081bc1110a3a6e305 completed March 28, 2026, 11:45 p.m.
NEDg Description generation batch_69c8699f5c008190be32da0a096cbb29 completed March 28, 2026, 11:51 p.m.
NED2 Entity disambiguation (via description) batch_69c86abe53b08190b9fbd17d83cbe7c3 completed March 28, 2026, 11:56 p.m.
Created at: March 27, 2026, 3:14 p.m.