Triple

T7288483
Position Surface form Disambiguated ID Type / Status
Subject Law & Order E163933 entity
Predicate mainCharacter P1183 FINISHED
Object Anita Van Buren
Anita Van Buren is a long-serving, no-nonsense NYPD lieutenant on the television series "Law & Order," known for supervising the homicide detectives with authority and integrity.
 E653943 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: Anita Van Buren | Statement: [Law & Order, mainCharacter, Anita Van Buren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Anita Van Buren
Context triple: [Law & Order, mainCharacter, Anita Van Buren]
  • A. Sylvia Van Buren
    Sylvia Van Buren is the female lead and love interest in the 1953 science fiction film adaptation of H.G. Wells' "The War of the Worlds."
  • B. Mabel Van Buren
    Mabel Van Buren was an American stage and silent film actress active in the early 20th century.
  • C. Anna van Buren
    Anna van Buren, born Anna van Egmond, was a 16th-century Dutch noblewoman best known as the first wife of William of Orange (William the Silent).
  • D. Isabel Rodham
    Isabel Rodham is a member of the Rodham family, known primarily through her relation to Hugh Rodham.
  • E. Beverly Lincoln
    Beverly Lincoln is a central character on the British-American television comedy series "Episodes," portrayed as a sharp-witted TV writer navigating the absurdities of Hollywood.
  • 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: Anita Van Buren
Triple: [Law & Order, mainCharacter, Anita Van Buren]
Generated description
Anita Van Buren is a long-serving, no-nonsense NYPD lieutenant on the television series "Law & Order," known for supervising the homicide detectives with authority and integrity.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Anita Van Buren
Target entity description: Anita Van Buren is a long-serving, no-nonsense NYPD lieutenant on the television series "Law & Order," known for supervising the homicide detectives with authority and integrity.
  • A. Sylvia Van Buren
    Sylvia Van Buren is the female lead and love interest in the 1953 science fiction film adaptation of H.G. Wells' "The War of the Worlds."
  • B. Mabel Van Buren
    Mabel Van Buren was an American stage and silent film actress active in the early 20th century.
  • C. Anna van Buren
    Anna van Buren, born Anna van Egmond, was a 16th-century Dutch noblewoman best known as the first wife of William of Orange (William the Silent).
  • D. Isabel Rodham
    Isabel Rodham is a member of the Rodham family, known primarily through her relation to Hugh Rodham.
  • E. Beverly Lincoln
    Beverly Lincoln is a central character on the British-American television comedy series "Episodes," portrayed as a sharp-witted TV writer navigating the absurdities of Hollywood.
  • 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_69c6886093b88190a254b1ce6db8bae7 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb6a73fc8190ae5ce81fd3e46d87 completed March 27, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db4671e08190874d5e099e883509 completed March 28, 2026, 1:44 p.m.
NEDg Description generation batch_69c7dbc1ff0c8190bc7639a74a5d3af3 completed March 28, 2026, 1:46 p.m.
NED2 Entity disambiguation (via description) batch_69c7dc6873a081908ea4e953430ec20b completed March 28, 2026, 1:49 p.m.
Created at: March 27, 2026, 3 p.m.