Triple

T2590919
Position Surface form Disambiguated ID Type / Status
Subject Maura Healey E58118 entity
Predicate givenName P17 FINISHED
Object Maura
Maura is a feminine given name commonly used in English-speaking countries, often considered a variant of Mary or Maureen.
 E279329 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 | Statement: [Maura Healey, givenName, Maura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maura
Context triple: [Maura Healey, givenName, Maura]
  • A. 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."
  • B. Maureen
    Maureen is a feminine given name of Irish origin, commonly used in English-speaking countries.
  • C. Daphne Moon
    Daphne Moon is a quirky, psychic-leaning live-in physical therapist and housekeeper who becomes a central member of the Crane household on the television sitcom "Frasier."
  • D. Maggie Pierce
    Maggie Pierce is a cardiothoracic surgeon and the biological half-sister of Meredith Grey on the long-running medical drama series Grey’s Anatomy.
  • E. Mary Clare
    Mary Clare was a British stage and film actress known for her character roles in early 20th-century cinema and theatre.
  • 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
Triple: [Maura Healey, givenName, Maura]
Generated description
Maura is a feminine given name commonly used in English-speaking countries, often considered a variant of Mary or Maureen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Maura
Target entity description: Maura is a feminine given name commonly used in English-speaking countries, often considered a variant of Mary or Maureen.
  • A. 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."
  • B. Maureen
    Maureen is a feminine given name of Irish origin, commonly used in English-speaking countries.
  • C. Daphne Moon
    Daphne Moon is a quirky, psychic-leaning live-in physical therapist and housekeeper who becomes a central member of the Crane household on the television sitcom "Frasier."
  • D. Maggie Pierce
    Maggie Pierce is a cardiothoracic surgeon and the biological half-sister of Meredith Grey on the long-running medical drama series Grey’s Anatomy.
  • E. Mary Clare
    Mary Clare was a British stage and film actress known for her character roles in early 20th-century cinema and theatre.
  • 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_69ab4ac019c8819094add11c46706e32 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd40075f08190b760cb41c1417169 completed March 7, 2026, 7:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69af6589a9c48190b16b5b7959096aab completed March 10, 2026, 12:27 a.m.
NEDg Description generation batch_69af6828591081909ccf92fb38549944 completed March 10, 2026, 12:39 a.m.
NED2 Entity disambiguation (via description) batch_69af689f7c4c8190a26270c57da71146 completed March 10, 2026, 12:41 a.m.
Created at: March 6, 2026, 9:49 p.m.