Triple

T12401331
Position Surface form Disambiguated ID Type / Status
Subject Saw VI E296258 entity
Predicate featuresCharacter P626 FINISHED
Object Pamela Jenkins
Pamela Jenkins is a fictional character from the Saw horror film franchise, appearing in the movie "Saw VI."
E1034124 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: Pamela Jenkins | Statement: [Saw VI, featuresCharacter, Pamela Jenkins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pamela Jenkins
Context triple: [Saw VI, featuresCharacter, Pamela Jenkins]
  • A. Pamela Frank
    Pamela Frank is the second wife of singer and civil rights activist Harry Belafonte, known primarily for her long-term marriage to the entertainer.
  • B. Pamela Frank
    Pamela Frank is an acclaimed American violinist renowned for her expressive performances and influential teaching career.
  • C. Pamela Reeves
    Pamela Reeves was a respected American attorney and federal judge who served on the U.S. District Court for the Eastern District of Tennessee and was known for her trailblazing role as the court’s first female chief judge.
  • D. Pamela Danova
    Pamela Danova is known as the spouse of Italian-American actor Cesare Danova.
  • E. Pamela Franklin
    Pamela Franklin is a British actress best known for her work as a child and young adult in 1960s and 1970s films and television, particularly in psychological horror and drama.
  • 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: Pamela Jenkins
Triple: [Saw VI, featuresCharacter, Pamela Jenkins]
Generated description
Pamela Jenkins is a fictional character from the Saw horror film franchise, appearing in the movie "Saw VI."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pamela Jenkins
Target entity description: Pamela Jenkins is a fictional character from the Saw horror film franchise, appearing in the movie "Saw VI."
  • A. Pamela Frank
    Pamela Frank is the second wife of singer and civil rights activist Harry Belafonte, known primarily for her long-term marriage to the entertainer.
  • B. Pamela Frank
    Pamela Frank is an acclaimed American violinist renowned for her expressive performances and influential teaching career.
  • C. Pamela Reeves
    Pamela Reeves was a respected American attorney and federal judge who served on the U.S. District Court for the Eastern District of Tennessee and was known for her trailblazing role as the court’s first female chief judge.
  • D. Pamela Danova
    Pamela Danova is known as the spouse of Italian-American actor Cesare Danova.
  • E. Pamela Franklin
    Pamela Franklin is a British actress best known for her work as a child and young adult in 1960s and 1970s films and television, particularly in psychological horror and drama.
  • 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d46007c81908e0f4b590402bf58 completed April 10, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f71f082b6481909950c8c4cb854440 completed May 3, 2026, 10:10 a.m.
NEDg Description generation batch_69f71fe2c128819096cc31c9cbb739b5 completed May 3, 2026, 10:13 a.m.
NED2 Entity disambiguation (via description) batch_69f7208d47388190b1b51f346b0d1423 completed May 3, 2026, 10:16 a.m.
Created at: April 8, 2026, 9:55 p.m.