Triple

T16317905
Position Surface form Disambiguated ID Type / Status
Subject Vinnie & Bobby E396218 entity
Predicate character P662 FINISHED
Object Marie
Marie is a fictional character from the American sitcom "Vinnie & Bobby," which followed two construction workers navigating life and relationships in Chicago.
 E1208744 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: Marie | Statement: [Vinnie & Bobby, character, Marie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marie
Context triple: [Vinnie & Bobby, character, Marie]
  • A. Marie
    "Marie" is a 1985 biographical drama film directed by Roger Donaldson, depicting the true story of whistleblower Marie Ragghianti’s fight against political corruption in Tennessee.
  • B. Marie
    Marie is the young protagonist of Alexandre Dumas’s fairy-tale novella "Histoire d’un casse-noisette," an adaptation of the Nutcracker story.
  • C. Marie
    Marie is the central protagonist of the romantic drama film "Passion of Mind," whose life is split between two contrasting realities that blur the line between dream and truth.
  • D. Marie
    Marie is one of the two central characters in the film "Malcolm & Marie," serving as a key figure in its intimate relationship drama.
  • E. Marie
    Marie is an individual known primarily as the spouse of Jess.
  • 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: Marie
Triple: [Vinnie & Bobby, character, Marie]
Generated description
Marie is a fictional character from the American sitcom "Vinnie & Bobby," which followed two construction workers navigating life and relationships in Chicago.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marie
Target entity description: Marie is a fictional character from the American sitcom "Vinnie & Bobby," which followed two construction workers navigating life and relationships in Chicago.
  • A. Marie
    Marie is one of the two central characters in the film "Malcolm & Marie," serving as a key figure in its intimate relationship drama.
  • B. Marie
    Marie is a supporting character in the psychological thriller film "The Machinist," serving as a compassionate presence in the troubled life of the insomniac protagonist.
  • C. Marie
    Marie is an individual known primarily as the spouse of Jess.
  • D. Marie
    Marie is the central protagonist of the romantic drama film "Passion of Mind," whose life is split between two contrasting realities that blur the line between dream and truth.
  • E. Marie
    Marie is the young protagonist of Alexandre Dumas’s fairy-tale novella "Histoire d’un casse-noisette," an adaptation of the Nutcracker story.
  • 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e296b31b988190bb1fde36dae11bbd completed April 17, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a002da6e6e08190a20cc51699e12dbc completed May 10, 2026, 7:03 a.m.
NEDg Description generation batch_6a002f46da5c81909c6e726fe89a3f81 completed May 10, 2026, 7:09 a.m.
NED2 Entity disambiguation (via description) batch_6a003063fd748190ba42c55b008202fc completed May 10, 2026, 7:14 a.m.
Created at: April 10, 2026, 5:06 a.m.