Triple

T17340525
Position Surface form Disambiguated ID Type / Status
Subject Two English Girls E421053 entity
Predicate featuresCharacter P626 FINISHED
Object Anne Brown
Anne Brown is a fictional character from the film "Two English Girls," a romantic drama by François Truffaut.
 E1406379 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: Anne Brown | Statement: [Two English Girls, featuresCharacter, Anne Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Anne Brown
Context triple: [Two English Girls, featuresCharacter, Anne Brown]
  • A. Anne Brown
    Anne Brown was an American soprano best known for originating the role of Bess in George Gershwin’s opera "Porgy and Bess."
  • B. Alice Joyce Brown
    Alice Joyce Brown was the birth name of Alice Joyce, a prominent American silent film actress of the early 20th century.
  • C. Carole Brown
    Carole Brown is the grandmother of LaPrincia Brown, who is known as the daughter of singer Bobby Brown.
  • D. Beth Brown
    Beth Brown is a screenwriter known for her work on the film "Applause."
  • E. Charlotte Brown
    Charlotte Brown was the wife of American politician and former U.S. Secretary of War George Dern.
  • 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: Anne Brown
Triple: [Two English Girls, featuresCharacter, Anne Brown]
Generated description
Anne Brown is a fictional character from the film "Two English Girls," a romantic drama by François Truffaut.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Anne Brown
Target entity description: Anne Brown is a fictional character from the film "Two English Girls," a romantic drama by François Truffaut.
  • A. Anne Brown
    Anne Brown was an American soprano best known for originating the role of Bess in George Gershwin’s opera "Porgy and Bess."
  • B. Alice Joyce Brown
    Alice Joyce Brown was the birth name of Alice Joyce, a prominent American silent film actress of the early 20th century.
  • C. Carole Brown
    Carole Brown is the grandmother of LaPrincia Brown, who is known as the daughter of singer Bobby Brown.
  • D. Beth Brown
    Beth Brown is a screenwriter known for her work on the film "Applause."
  • E. Charlotte Brown
    Charlotte Brown was the wife of American politician and former U.S. Secretary of War George Dern.
  • 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_69d889d3adc881909319f1edb8d2a956 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a15f6488190ad7d489e7391ab12 completed April 19, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0804e090cc8190b3633950e33811bd completed May 16, 2026, 5:47 a.m.
NEDg Description generation batch_6a08092fe1dc8190a2836414b7b439ca completed May 16, 2026, 6:05 a.m.
NED2 Entity disambiguation (via description) batch_6a080a3df1cc8190970766e8bcbcf7f5 completed May 16, 2026, 6:10 a.m.
Created at: April 10, 2026, 5:44 a.m.