Triple

T15578275
Position Surface form Disambiguated ID Type / Status
Subject Nira Park E374424 entity
Predicate partnerInBusinessWith P282 FINISHED
Object Rachael Prior
Rachael Prior is a British film and television producer known for her work alongside Nira Park on various acclaimed UK comedy and genre projects.
E1165829 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: Rachael Prior | Statement: [Nira Park, partnerInBusinessWith, Rachael Prior]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rachael Prior
Context triple: [Nira Park, partnerInBusinessWith, Rachael Prior]
  • A. Rachael
    Rachael is a feminine given name commonly used in English-speaking countries, often considered a variant of the biblical name Rachel.
  • B. Rachael Taylor
    Rachael Taylor is an Australian actress known for her roles in films like "Transformers" and TV series such as "Jessica Jones."
  • C. Rachael Elliott
    Rachael Elliott is a musician best known as the bassoonist for the contemporary chamber ensemble Clogs.
  • D. Rebecca Lane
    Rebecca Lane is a central character in the science fiction horror film "The Last Days on Mars," serving as one of the astronauts confronting a deadly infection on the Martian surface.
  • E. Meredith Baxter
    Meredith Baxter is an American actress best known for her role as Elyse Keaton on the 1980s television sitcom "Family Ties."
  • 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: Rachael Prior
Triple: [Nira Park, partnerInBusinessWith, Rachael Prior]
Generated description
Rachael Prior is a British film and television producer known for her work alongside Nira Park on various acclaimed UK comedy and genre projects.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rachael Prior
Target entity description: Rachael Prior is a British film and television producer known for her work alongside Nira Park on various acclaimed UK comedy and genre projects.
  • A. Rachael
    Rachael is a feminine given name commonly used in English-speaking countries, often considered a variant of the biblical name Rachel.
  • B. Rachael Taylor
    Rachael Taylor is an Australian actress known for her roles in films like "Transformers" and TV series such as "Jessica Jones."
  • C. Rachael Elliott
    Rachael Elliott is a musician best known as the bassoonist for the contemporary chamber ensemble Clogs.
  • D. Rebecca Lane
    Rebecca Lane is a central character in the science fiction horror film "The Last Days on Mars," serving as one of the astronauts confronting a deadly infection on the Martian surface.
  • E. Meredith Baxter
    Meredith Baxter is an American actress best known for her role as Elyse Keaton on the 1980s television sitcom "Family Ties."
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e22c89081909b1ec0cd36a1ef45 completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c4b3a8881909d41204a0b243461 completed May 9, 2026, 3:01 p.m.
NEDg Description generation batch_69ff50ad13b88190adb51231ea967889 completed May 9, 2026, 3:20 p.m.
NED2 Entity disambiguation (via description) batch_69ff512549088190880a57fcf66914a8 completed May 9, 2026, 3:22 p.m.
Created at: April 10, 2026, 4:11 a.m.