Triple

T14752383
Position Surface form Disambiguated ID Type / Status
Subject The Girl E346640 entity
Predicate starring P1507 FINISHED
Object Carl Beukes
Carl Beukes is a South African actor known for his work in film and television, including roles in international productions.
E1117409 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: Carl Beukes | Statement: [The Girl, starring, Carl Beukes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carl Beukes
Context triple: [The Girl, starring, Carl Beukes]
  • A. Lauren Beukes
    Lauren Beukes is a South African author known for her genre-blending speculative fiction novels such as "Zoo City" and "The Shining Girls."
  • B. Madeleine Le Roux
    Madeleine Le Roux is an actress best known for her work in American film and television during the 1970s, including roles in offbeat comedies and genre productions.
  • C. Jenny Downham
    Jenny Downham is a British author best known for her young adult novel "Before I Die," which was adapted into the film "Now Is Good."
  • D. Tahereh Mafi
    Tahereh Mafi is an Iranian-American author best known for her young adult dystopian and fantasy novels, including the popular "Shatter Me" series.
  • E. Alexandra Bracken
    Alexandra Bracken is an American author best known for her young adult science fiction and fantasy novels, particularly the popular dystopian series that began with *The Darkest Minds*.
  • 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: Carl Beukes
Triple: [The Girl, starring, Carl Beukes]
Generated description
Carl Beukes is a South African actor known for his work in film and television, including roles in international productions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Carl Beukes
Target entity description: Carl Beukes is a South African actor known for his work in film and television, including roles in international productions.
  • A. Lauren Beukes
    Lauren Beukes is a South African author known for her genre-blending speculative fiction novels such as "Zoo City" and "The Shining Girls."
  • B. Madeleine Le Roux
    Madeleine Le Roux is an actress best known for her work in American film and television during the 1970s, including roles in offbeat comedies and genre productions.
  • C. Jenny Downham
    Jenny Downham is a British author best known for her young adult novel "Before I Die," which was adapted into the film "Now Is Good."
  • D. Tahereh Mafi
    Tahereh Mafi is an Iranian-American author best known for her young adult dystopian and fantasy novels, including the popular "Shatter Me" series.
  • E. Alexandra Bracken
    Alexandra Bracken is an American author best known for her young adult science fiction and fantasy novels, particularly the popular dystopian series that began with *The Darkest Minds*.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7d40efc8190bb1be34c19a2b57c completed April 14, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb9c725881908004368772fa528d completed May 8, 2026, 3:05 p.m.
NEDg Description generation batch_69fdfde8ed30819083600cdac241675e completed May 8, 2026, 3:14 p.m.
NED2 Entity disambiguation (via description) batch_69fdfe969a6081908f4ebec0f6538811 completed May 8, 2026, 3:17 p.m.
Created at: April 10, 2026, 1:30 a.m.