Triple

T18985203
Position Surface form Disambiguated ID Type / Status
Subject Lexi Underwood E464537 entity
Predicate hasRole P161 FINISHED
Object Veronica
Veronica is a character portrayed by American actress Lexi Underwood, known for her work in film and television dramas.
E1352402 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: Veronica | Statement: [Lexi Underwood, hasRole, Veronica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Veronica
Context triple: [Lexi Underwood, hasRole, Veronica]
  • A. Veronica
    Veronica is a Dutch commercial television channel known for broadcasting popular entertainment programs, including the Dutch version of the reality show Big Brother.
  • B. Veronica
    Veronica is a character portrayed by Australian actress Robin McLeavy, likely known from her work in film or television.
  • C. Veronica
    Veronica is the given first name of American jazz and R&B singer Randy Crawford.
  • D. Veronica
    Veronica is the central character in the television series "Dads," around whom much of the show's story and humor revolves.
  • E. Veronica
    Veronica is a fictional character known as a relative of Tiffany Maxwell in the film "Silver Linings Playbook."
  • 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: Veronica
Triple: [Lexi Underwood, hasRole, Veronica]
Generated description
Veronica is a character portrayed by American actress Lexi Underwood, known for her work in film and television dramas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Veronica
Target entity description: Veronica is a character portrayed by American actress Lexi Underwood, known for her work in film and television dramas.
  • A. Veronica
    Veronica is a character portrayed by Australian actress Robin McLeavy, likely known from her work in film or television.
  • B. Veronica
    Veronica is a fictional character known as a relative of Tiffany Maxwell in the film "Silver Linings Playbook."
  • C. Veronica
    Veronica is a central character from the Archie Comics series, known as the wealthy, stylish, and often temperamental love interest of Archie Andrews.
  • D. Veronica
    Veronica is the given first name of the American actress and comedian Patsy Kelly.
  • E. Veronica
    Veronica is the full given name of Ronnie Mitchell, a fictional character from the British soap opera EastEnders.
  • 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_69d8dd008af48190a97ff1c6488edf1b completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d65f7f08819088f56e8e030851b1 completed April 20, 2026, 7:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05ad4717f48190a950ac569b8bcf12 completed May 14, 2026, 11:08 a.m.
NEDg Description generation batch_6a05aedf05c4819096ac6a61ada4b310 completed May 14, 2026, 11:15 a.m.
NED2 Entity disambiguation (via description) batch_6a05afe523208190a97142cd8e3b887b completed May 14, 2026, 11:20 a.m.
Created at: April 10, 2026, 12:01 p.m.