Triple

T2330244
Position Surface form Disambiguated ID Type / Status
Subject Miranda Otto E48384 entity
Predicate child P120 FINISHED
Object Darcey O'Brien
Darcey O'Brien is the daughter of Australian actress Miranda Otto and actor Peter O'Brien.
E255987 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: Darcey O'Brien | Statement: [Miranda Otto, child, Darcey O'Brien]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Darcey O'Brien
Context triple: [Miranda Otto, child, Darcey O'Brien]
  • A. Darci Kistler
    Darci Kistler is an acclaimed American ballerina best known as one of the last principal dancers personally selected and mentored by George Balanchine at New York City Ballet.
  • B. Lindsay Drummond
    Lindsay Drummond was a British publishing house known for issuing significant historical and political works, including Jawaharlal Nehru’s "Glimpses of World History."
  • C. Wendy Mills
    Wendy Mills is a person notable enough to be specifically cited as a bearer of the surname Mills.
  • D. Christine Cosey
    Christine Cosey is a central character in Toni Morrison’s novel "Love," around whom much of the story’s emotional and relational complexity revolves.
  • E. Anna LoPizzo
    Anna LoPizzo was an Italian immigrant mill worker whose death during the 1912 Lawrence textile strike became a pivotal rallying point for the labor movement in the United States.
  • 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: Darcey O'Brien
Triple: [Miranda Otto, child, Darcey O'Brien]
Generated description
Darcey O'Brien is the daughter of Australian actress Miranda Otto and actor Peter O'Brien.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Darcey O'Brien
Target entity description: Darcey O'Brien is the daughter of Australian actress Miranda Otto and actor Peter O'Brien.
  • A. Darci Kistler
    Darci Kistler is an acclaimed American ballerina best known as one of the last principal dancers personally selected and mentored by George Balanchine at New York City Ballet.
  • B. Lindsay Drummond
    Lindsay Drummond was a British publishing house known for issuing significant historical and political works, including Jawaharlal Nehru’s "Glimpses of World History."
  • C. Wendy Mills
    Wendy Mills is a person notable enough to be specifically cited as a bearer of the surname Mills.
  • D. Christine Cosey
    Christine Cosey is a central character in Toni Morrison’s novel "Love," around whom much of the story’s emotional and relational complexity revolves.
  • E. Anna LoPizzo
    Anna LoPizzo was an Italian immigrant mill worker whose death during the 1912 Lawrence textile strike became a pivotal rallying point for the labor movement in the United States.
  • 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_69a88aa308a88190b0b86c011fda7fce completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc667235c819086140af9db961203 completed March 7, 2026, 6:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae8974ab8c81908ec2bddcc882cf42 completed March 9, 2026, 8:48 a.m.
NEDg Description generation batch_69ae8a084b388190a6d79df8d94b236d completed March 9, 2026, 8:51 a.m.
NED2 Entity disambiguation (via description) batch_69ae8a895b6c8190bfd064742e3cc4f8 completed March 9, 2026, 8:53 a.m.
Created at: March 4, 2026, 7:50 p.m.