Triple

T15073268
Position Surface form Disambiguated ID Type / Status
Subject Bosch (TV series) E379934 entity
Predicate alsoStars P14987 FINISHED
Object Annie Wersching
Annie Wersching was an American actress best known for her roles in television series such as "24," "Bosch," and "Star Trek: Picard."
E1137456 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: Annie Wersching | Statement: [Bosch (TV series), alsoStars, Annie Wersching]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Annie Wersching
Context triple: [Bosch (TV series), alsoStars, Annie Wersching]
  • A. Carrie Vaughn
    Carrie Vaughn is an American author best known for her urban fantasy "Kitty Norville" series and contributions to shared-world projects like Wild Cards.
  • B. Kay Howard
    Kay Howard is a determined and sharp Baltimore homicide detective featured as one of the central characters in the television series "Homicide: Life on the Street."
  • C. Margaret McTague
    Margaret McTague was the wife of New York politician and long-serving U.S. Senator Robert F. Wagner.
  • D. Jocelyn Harris
    Jocelyn Harris is a fictional character portrayed by actress Alona Tal, best known from her role in the television series "Veronica Mars."
  • E. Jennifer Blohm
    Jennifer Blohm is a film producer best known for her work on Disney’s animated sequel "Mulan II."
  • 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: Annie Wersching
Triple: [Bosch (TV series), alsoStars, Annie Wersching]
Generated description
Annie Wersching was an American actress best known for her roles in television series such as "24," "Bosch," and "Star Trek: Picard."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Annie Wersching
Target entity description: Annie Wersching was an American actress best known for her roles in television series such as "24," "Bosch," and "Star Trek: Picard."
  • A. Carrie Vaughn
    Carrie Vaughn is an American author best known for her urban fantasy "Kitty Norville" series and contributions to shared-world projects like Wild Cards.
  • B. Kay Howard
    Kay Howard is a determined and sharp Baltimore homicide detective featured as one of the central characters in the television series "Homicide: Life on the Street."
  • C. Margaret McTague
    Margaret McTague was the wife of New York politician and long-serving U.S. Senator Robert F. Wagner.
  • D. Jocelyn Harris
    Jocelyn Harris is a fictional character portrayed by actress Alona Tal, best known from her role in the television series "Veronica Mars."
  • E. Jennifer Blohm
    Jennifer Blohm is a film producer best known for her work on Disney’s animated sequel "Mulan II."
  • 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_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dff7fa0570819088a97b28173154cd completed April 15, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69feae11d6648190bc9b5d4f520d694b completed May 9, 2026, 3:46 a.m.
NEDg Description generation batch_69feafaefab0819083187c60cea2a0fb completed May 9, 2026, 3:53 a.m.
NED2 Entity disambiguation (via description) batch_69feb05a3a308190930594538d79722a completed May 9, 2026, 3:56 a.m.
Created at: April 10, 2026, 3:02 a.m.