Triple

T6859379
Position Surface form Disambiguated ID Type / Status
Subject Joe Lo Truglio E158232 entity
Predicate spouse P13 FINISHED
Object Beth Dover
Beth Dover is an American actress known for her comedic and character roles in television series such as "Orange Is the New Black" and "Brooklyn Nine-Nine."
 E624526 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: Beth Dover | Statement: [Joe Lo Truglio, spouse, Beth Dover]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Beth Dover
Context triple: [Joe Lo Truglio, spouse, Beth Dover]
  • A. Cara Dune
    Cara Dune is a former Rebel shock trooper turned mercenary who becomes a key ally to the titular bounty hunter in the Star Wars series "The Mandalorian."
  • B. Kalai Strode
    Kalai Strode is the child of American actor and athlete Woody Strode, known primarily in relation to his father's legacy.
  • C. Bayta Darell
    Bayta Darell is a pivotal character in Isaac Asimov's Foundation series, known for her crucial role in thwarting the Mule's conquest in "Foundation and Empire."
  • D. Charena Swann
    Charena Swann is the wife of former NFL star and Pro Football Hall of Famer Lynn Swann.
  • E. Shae-Lynn Bourne
    Shae-Lynn Bourne is a Canadian former ice dancer and renowned figure skating choreographer known for creating innovative, expressive programs for many of the world’s top skaters.
  • 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: Beth Dover
Triple: [Joe Lo Truglio, spouse, Beth Dover]
Generated description
Beth Dover is an American actress known for her comedic and character roles in television series such as "Orange Is the New Black" and "Brooklyn Nine-Nine."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Beth Dover
Target entity description: Beth Dover is an American actress known for her comedic and character roles in television series such as "Orange Is the New Black" and "Brooklyn Nine-Nine."
  • A. Cara Dune
    Cara Dune is a former Rebel shock trooper turned mercenary who becomes a key ally to the titular bounty hunter in the Star Wars series "The Mandalorian."
  • B. Kalai Strode
    Kalai Strode is the child of American actor and athlete Woody Strode, known primarily in relation to his father's legacy.
  • C. Bayta Darell
    Bayta Darell is a pivotal character in Isaac Asimov's Foundation series, known for her crucial role in thwarting the Mule's conquest in "Foundation and Empire."
  • D. Charena Swann
    Charena Swann is the wife of former NFL star and Pro Football Hall of Famer Lynn Swann.
  • E. Shae-Lynn Bourne
    Shae-Lynn Bourne is a Canadian former ice dancer and renowned figure skating choreographer known for creating innovative, expressive programs for many of the world’s top skaters.
  • 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_69c68830cdbc8190a8301c7a9d9f651a completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d8737fac81909fc546ca2bf6a278 completed March 27, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72fe79af081909baacbfd4d5e8f24 completed March 28, 2026, 1:33 a.m.
NEDg Description generation batch_69c7399b95e081908bbee3a598d6513c completed March 28, 2026, 2:14 a.m.
NED2 Entity disambiguation (via description) batch_69c739f1b20c8190a8ef57357d4956b4 completed March 28, 2026, 2:16 a.m.
Created at: March 27, 2026, 2:21 p.m.