Triple

T14378943
Position Surface form Disambiguated ID Type / Status
Subject Alice Englert E356548 entity
Predicate hasRole P161 FINISHED
Object Dolly
Dolly is a character portrayed by actress and filmmaker Alice Englert.
E820456 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: Dolly | Statement: [Alice Englert, hasRole, Dolly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dolly
Context triple: [Alice Englert, hasRole, Dolly]
  • A. Dolly
    Dolly is a legendary American country music singer-songwriter, actress, and philanthropist renowned for hits like "Jolene" and "9 to 5."
  • B. Dolly
    Dolly is a character connected to Bonnie Anderson in the Toy Story franchise, likely one of the toys residing in her household.
  • C. Dolly
    Dolly is the nickname of Dolores Haze, the young girl at the center of Vladimir Nabokov’s novel "Lolita."
  • D. Dolly Vinton
    Dolly Vinton is best known as the longtime wife of American pop singer Bobby Vinton, associated with his career and public life.
  • E. Dolly the sheep
    Dolly the sheep was the first mammal successfully cloned from an adult somatic cell, becoming a landmark figure in biotechnology and genetics.
  • 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: Dolly
Triple: [Alice Englert, hasRole, Dolly]
Generated description
Dolly is a character portrayed by actress and filmmaker Alice Englert.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dolly
Target entity description: Dolly is a character portrayed by actress and filmmaker Alice Englert.
  • A. Dolly
    Dolly is a legendary American country music singer-songwriter, actress, and philanthropist renowned for hits like "Jolene" and "9 to 5."
  • B. Dolly chosen
    Dolly is a character connected to Bonnie Anderson in the Toy Story franchise, likely one of the toys residing in her household.
  • C. Dolly
    Dolly is the nickname of Dolores Haze, the young girl at the center of Vladimir Nabokov’s novel "Lolita."
  • D. Dolly Vinton
    Dolly Vinton is best known as the longtime wife of American pop singer Bobby Vinton, associated with his career and public life.
  • E. Dolly the sheep
    Dolly the sheep was the first mammal successfully cloned from an adult somatic cell, becoming a landmark figure in biotechnology and genetics.
  • F. None of above.

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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de900a67e08190ab1dcf36e6bb3405 completed April 14, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c5728fc819089ef3c7c34b10101 completed May 8, 2026, 2:37 a.m.
NEDg Description generation batch_69fd4e4bae188190a8d1c5b833d58cd8 completed May 8, 2026, 2:45 a.m.
NED2 Entity disambiguation (via description) batch_69fd4f5782b4819081d32dbef032ac61 completed May 8, 2026, 2:49 a.m.
Created at: April 10, 2026, 1:16 a.m.