Triple

T1180812
Position Surface form Disambiguated ID Type / Status
Subject Bugsy Malone E25131 entity
Predicate castMember P1668 FINISHED
Object Florrie Dugger
Florrie Dugger is an American former child actress best known for playing the female lead, Blousey Brown, in the 1976 musical gangster film "Bugsy Malone."
E213608 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: Florrie Dugger | Statement: [Bugsy Malone, castMember, Florrie Dugger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Florrie Dugger
Context triple: [Bugsy Malone, castMember, Florrie Dugger]
  • A. Fiona Black
    Fiona Black is a notable individual recognized for achievements that have brought distinction to the surname Black.
  • B. Sarah Cloyce
    Sarah Cloyce was a woman accused during the Salem witch trials, known for being the sister of fellow accused Rebecca Nurse and for later helping to challenge the legitimacy of the proceedings.
  • C. Myra Finn
    Myra Finn was the first wife of renowned American lyricist and musical theatre producer Oscar Hammerstein II.
  • D. Faith Coghill
    Faith Coghill was the wife of the renowned English architect Sir Christopher Wren.
  • E. Katherine Clifton
    Katherine Clifton is a central character in Michael Ondaatje's novel "The English Patient," known for her tragic love affair and its far-reaching consequences during World War II.
  • 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: Florrie Dugger
Triple: [Bugsy Malone, castMember, Florrie Dugger]
Generated description
Florrie Dugger is an American former child actress best known for playing the female lead, Blousey Brown, in the 1976 musical gangster film "Bugsy Malone."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Florrie Dugger
Target entity description: Florrie Dugger is an American former child actress best known for playing the female lead, Blousey Brown, in the 1976 musical gangster film "Bugsy Malone."
  • A. Fiona Black
    Fiona Black is a notable individual recognized for achievements that have brought distinction to the surname Black.
  • B. Sarah Cloyce
    Sarah Cloyce was a woman accused during the Salem witch trials, known for being the sister of fellow accused Rebecca Nurse and for later helping to challenge the legitimacy of the proceedings.
  • C. Myra Finn
    Myra Finn was the first wife of renowned American lyricist and musical theatre producer Oscar Hammerstein II.
  • D. Faith Coghill
    Faith Coghill was the wife of the renowned English architect Sir Christopher Wren.
  • E. Katherine Clifton
    Katherine Clifton is a central character in Michael Ondaatje's novel "The English Patient," known for her tragic love affair and its far-reaching consequences during World War II.
  • 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_69a494267b4c819088c97a59182bf56a completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd32c5f48190b4e2d39fa052cbb7 completed March 1, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69adeab57c8c81908b1dbdaf7ba4b29b completed March 8, 2026, 9:31 p.m.
NEDg Description generation batch_69adeccddc788190be7ddb822f1b5d67 completed March 8, 2026, 9:40 p.m.
NED2 Entity disambiguation (via description) batch_69aded53100081909239afdc676e45ab completed March 8, 2026, 9:42 p.m.
Created at: March 1, 2026, 7:45 p.m.