Triple

T2351895
Position Surface form Disambiguated ID Type / Status
Subject 40 Days and 40 Nights E47465 entity
Predicate starring P1507 FINISHED
Object Vinessa Shaw
Vinessa Shaw is an American actress known for her roles in films such as "Hocus Pocus," "Eyes Wide Shut," and "The Hills Have Eyes."
 E269274 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 Shaw | Statement: [40 Days and 40 Nights, starring, Vinessa Shaw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vinessa Shaw
Context triple: [40 Days and 40 Nights, starring, Vinessa Shaw]
  • A. Veanne Cox
    Veanne Cox is an American actress and singer known for her work in musical theatre, film, and television, often recognized for her comedic and character roles.
  • B. Tanita Strahan
    Tanita Strahan is an American visual artist and the eldest daughter of former NFL star and television personality Michael Strahan.
  • C. 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."
  • D. Chantay Savage
    Chantay Savage is an American R&B singer and songwriter best known for her soulful vocals and 1990s hits like her cover of "I Will Survive."
  • E. Valerie Fleming
    Valerie Fleming is a Swiss long-distance runner who has competed internationally in events such as the marathon.
  • 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 Shaw
Triple: [40 Days and 40 Nights, starring, Vinessa Shaw]
Generated description
Vinessa Shaw is an American actress known for her roles in films such as "Hocus Pocus," "Eyes Wide Shut," and "The Hills Have Eyes."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vinessa Shaw
Target entity description: Vinessa Shaw is an American actress known for her roles in films such as "Hocus Pocus," "Eyes Wide Shut," and "The Hills Have Eyes."
  • A. Veanne Cox
    Veanne Cox is an American actress and singer known for her work in musical theatre, film, and television, often recognized for her comedic and character roles.
  • B. Tanita Strahan
    Tanita Strahan is an American visual artist and the eldest daughter of former NFL star and television personality Michael Strahan.
  • C. 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."
  • D. Chantay Savage
    Chantay Savage is an American R&B singer and songwriter best known for her soulful vocals and 1990s hits like her cover of "I Will Survive."
  • E. Valerie Fleming
    Valerie Fleming is a Swiss long-distance runner who has competed internationally in events such as the marathon.
  • 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_69a88a1b678c8190bce986922ba60ce0 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc6f8ff548190b07505310e2bf0b9 completed March 7, 2026, 6:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69af17726e54819094f1419b3bbe2a2a completed March 9, 2026, 6:54 p.m.
NEDg Description generation batch_69af17fbb54481908bee65fee0fd96a2 completed March 9, 2026, 6:56 p.m.
NED2 Entity disambiguation (via description) batch_69af186c6af081909498d709665f6f87 completed March 9, 2026, 6:58 p.m.
Created at: March 4, 2026, 7:54 p.m.