Triple

T4356524
Position Surface form Disambiguated ID Type / Status
Subject Scarface (1932 film) E98159 entity
Predicate character P662 FINISHED
Object Poppy
Poppy is a glamorous love interest in the 1932 gangster film "Scarface," entangled in the dangerous world of crime and ambition surrounding the main character.
 E432725 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: Poppy | Statement: [Scarface (1932 film), character, Poppy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Poppy
Context triple: [Scarface (1932 film), character, Poppy]
  • A. Poppy Papava
    Poppy Papava is a fictional character appearing in the James Bond continuation novel "Devil May Care" by Sebastian Faulks.
  • B. Snowdrop
    Snowdrop is a Mersey Ferry passenger vessel that operates on the River Mersey, carrying commuters and tourists between Liverpool and the Wirral.
  • C. Bloom
    Bloom is a common English and Jewish surname borne by numerous notable figures in literature, academia, and the arts.
  • D. Prater Violet
    Prater Violet is a short 1945 novel by Christopher Isherwood that blends satire and introspection in its portrayal of a screenwriter working on a film in pre–World War II Europe.
  • E. Snowdrops
    Snowdrops is an informal nickname for members of the Royal Air Force Police in the United Kingdom.
  • 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: Poppy
Triple: [Scarface (1932 film), character, Poppy]
Generated description
Poppy is a glamorous love interest in the 1932 gangster film "Scarface," entangled in the dangerous world of crime and ambition surrounding the main character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Poppy
Target entity description: Poppy is a glamorous love interest in the 1932 gangster film "Scarface," entangled in the dangerous world of crime and ambition surrounding the main character.
  • A. Poppy Papava
    Poppy Papava is a fictional character appearing in the James Bond continuation novel "Devil May Care" by Sebastian Faulks.
  • B. Snowdrop
    Snowdrop is a Mersey Ferry passenger vessel that operates on the River Mersey, carrying commuters and tourists between Liverpool and the Wirral.
  • C. Bloom
    Bloom is a common English and Jewish surname borne by numerous notable figures in literature, academia, and the arts.
  • D. Prater Violet
    Prater Violet is a short 1945 novel by Christopher Isherwood that blends satire and introspection in its portrayal of a screenwriter working on a film in pre–World War II Europe.
  • E. Snowdrops
    Snowdrops is an informal nickname for members of the Royal Air Force Police in the United Kingdom.
  • 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_69b3454965f881908c41190bb22f0e4b completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b351c68a588190ba14a298afacb1dc completed March 12, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5dbb9b9988190adf8a84de3582ab6 completed March 14, 2026, 10:05 p.m.
NEDg Description generation batch_69b5dc578b08819095cbf6ba8470d3e0 completed March 14, 2026, 10:08 p.m.
NED2 Entity disambiguation (via description) batch_69b5dd1b03508190a47bb6fb93f22ad8 completed March 14, 2026, 10:11 p.m.
Created at: March 12, 2026, 11:16 p.m.