Triple

T1041950
Position Surface form Disambiguated ID Type / Status
Subject Rizzoli & Isles E22487 entity
Predicate mainCharacter P1183 FINISHED
Object Maura Isles
Maura Isles is a brilliant, fashion-conscious medical examiner and one of the two central protagonists in the crime drama series "Rizzoli & Isles."
E124267 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: Maura Isles | Statement: [Rizzoli & Isles, mainCharacter, Maura Isles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maura Isles
Context triple: [Rizzoli & Isles, mainCharacter, Maura Isles]
  • A. Elizabeth Watson
    Elizabeth Watson is known as the wife of molecular biologist and DNA double-helix co-discoverer James Watson.
  • B. Jane Rizzoli
    Jane Rizzoli is a tough, sharp-witted Boston homicide detective and the central protagonist of the crime drama series "Rizzoli & Isles."
  • C. Lydia Winters
    Lydia Winters is a prominent executive and public figure at Mojang Studios, best known for her role in shaping and representing the Minecraft brand.
  • D. Laura Lyons
    Laura Lyons is the mother of American fashion model Lily Aldridge.
  • E. Elizabeth Cutter Morrow
    Elizabeth Cutter Morrow was an American educator and diplomat who served as U.S. ambassador to Mexico and was the mother of author and aviator Anne Morrow Lindbergh.
  • 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: Maura Isles
Triple: [Rizzoli & Isles, mainCharacter, Maura Isles]
Generated description
Maura Isles is a brilliant, fashion-conscious medical examiner and one of the two central protagonists in the crime drama series "Rizzoli & Isles."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Maura Isles
Target entity description: Maura Isles is a brilliant, fashion-conscious medical examiner and one of the two central protagonists in the crime drama series "Rizzoli & Isles."
  • A. Elizabeth Watson
    Elizabeth Watson is known as the wife of molecular biologist and DNA double-helix co-discoverer James Watson.
  • B. Jane Rizzoli
    Jane Rizzoli is a tough, sharp-witted Boston homicide detective and the central protagonist of the crime drama series "Rizzoli & Isles."
  • C. Lydia Winters
    Lydia Winters is a prominent executive and public figure at Mojang Studios, best known for her role in shaping and representing the Minecraft brand.
  • D. Laura Lyons
    Laura Lyons is the mother of American fashion model Lily Aldridge.
  • E. Elizabeth Cutter Morrow
    Elizabeth Cutter Morrow was an American educator and diplomat who served as U.S. ambassador to Mexico and was the mother of author and aviator Anne Morrow Lindbergh.
  • 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_69a493d91478819094cc01fb65564bc1 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b82f6c14819080277443ea4722dd completed March 1, 2026, 10:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac429ad45481908641fcaf72f7d1b9 completed March 7, 2026, 3:22 p.m.
NEDg Description generation batch_69ac4365965881909ff2cdf8eda07f91 completed March 7, 2026, 3:25 p.m.
NED2 Entity disambiguation (via description) batch_69ac43d1cd1c8190852f8811703ebd5f completed March 7, 2026, 3:27 p.m.
Created at: March 1, 2026, 7:42 p.m.