Triple

T10495399
Position Surface form Disambiguated ID Type / Status
Subject Care E247525 entity
Predicate producer P490 FINISHED
Object Donna Molloy
Donna Molloy is a film and television producer known for her work on the project "Care."
E953992 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: Donna Molloy | Statement: [Care, producer, Donna Molloy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donna Molloy
Context triple: [Care, producer, Donna Molloy]
  • A. Donna Meagle
    Donna Meagle is a confident, luxury-loving office administrator in the comedy series "Parks and Recreation," known for her sharp wit, "treat yo' self" mantra, and no-nonsense attitude.
  • B. Colleen Donaghy
    Colleen Donaghy is a sharp-tongued, overbearing Irish-American mother character from the TV series "30 Rock," known for her contentious yet influential relationship with her son Jack Donaghy.
  • C. Colleen Murphy
    Colleen Murphy is a Canadian playwright, filmmaker, and librettist renowned for her powerful, emotionally intense stage works.
  • D. Patricia Malone
    Patricia Malone was a British actress and singer, best known as the mother of stage and screen star Sally Ann Howes.
  • E. Maureen Callahan
    Maureen Callahan is an American journalist, author, and pop culture critic known for her work with publications like the New York Post and her commentary on celebrity and cultural trends.
  • 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: Donna Molloy
Triple: [Care, producer, Donna Molloy]
Generated description
Donna Molloy is a film and television producer known for her work on the project "Care."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Donna Molloy
Target entity description: Donna Molloy is a film and television producer known for her work on the project "Care."
  • A. Donna Meagle
    Donna Meagle is a confident, luxury-loving office administrator in the comedy series "Parks and Recreation," known for her sharp wit, "treat yo' self" mantra, and no-nonsense attitude.
  • B. Colleen Donaghy
    Colleen Donaghy is a sharp-tongued, overbearing Irish-American mother character from the TV series "30 Rock," known for her contentious yet influential relationship with her son Jack Donaghy.
  • C. Colleen Murphy
    Colleen Murphy is a Canadian playwright, filmmaker, and librettist renowned for her powerful, emotionally intense stage works.
  • D. Patricia Malone
    Patricia Malone was a British actress and singer, best known as the mother of stage and screen star Sally Ann Howes.
  • E. Maureen Callahan
    Maureen Callahan is an American journalist, author, and pop culture critic known for her work with publications like the New York Post and her commentary on celebrity and cultural trends.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5098be488819083d614f528cd82fb completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f43ee693048190a8c7ecdf8724d3ec completed May 1, 2026, 5:49 a.m.
NEDg Description generation batch_69f448f506a48190a0f1b89ad570fad5 completed May 1, 2026, 6:32 a.m.
NED2 Entity disambiguation (via description) batch_69f44ad185cc8190893cf663cfed6980 completed May 1, 2026, 6:40 a.m.
Created at: April 6, 2026, 12:24 p.m.