Triple

T20997755
Position Surface form Disambiguated ID Type / Status
Subject Bleak Moments E517193 entity
Predicate stars P1956 FINISHED
Object Joolia Cappleman
Joolia Cappleman is an actress best known for her role in Mike Leigh’s 1971 British drama film "Bleak Moments."
E1464129 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: Joolia Cappleman | Statement: [Bleak Moments, stars, Joolia Cappleman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joolia Cappleman
Context triple: [Bleak Moments, stars, Joolia Cappleman]
  • A. Eileen Kaufman
    Eileen Kaufman was an American editor and literary figure best known for championing and preserving the work and legacy of Beat poet Bob Kaufman.
  • B. Julia Berg
    Julia Berg was the wife of German-American painter and Bauhaus master Lyonel Feininger, known primarily through her association with his life and work.
  • C. Julie Roginsky
    Julie Roginsky is a Democratic political consultant and television commentator who gained national attention for accusing Fox News chairman Roger Ailes of sexual harassment.
  • D. Jill Krementz
    Jill Krementz is an American photographer and author best known for her portraits of writers and her work in children's literature.
  • E. Julie Weiss
    Julie Weiss is an acclaimed American costume designer known for her work in film, television, and theater, including multiple Academy Award–nominated productions.
  • 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: Joolia Cappleman
Triple: [Bleak Moments, stars, Joolia Cappleman]
Generated description
Joolia Cappleman is an actress best known for her role in Mike Leigh’s 1971 British drama film "Bleak Moments."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Joolia Cappleman
Target entity description: Joolia Cappleman is an actress best known for her role in Mike Leigh’s 1971 British drama film "Bleak Moments."
  • A. Eileen Kaufman
    Eileen Kaufman was an American editor and literary figure best known for championing and preserving the work and legacy of Beat poet Bob Kaufman.
  • B. Julia Berg
    Julia Berg was the wife of German-American painter and Bauhaus master Lyonel Feininger, known primarily through her association with his life and work.
  • C. Julie Roginsky
    Julie Roginsky is a Democratic political consultant and television commentator who gained national attention for accusing Fox News chairman Roger Ailes of sexual harassment.
  • D. Jill Krementz
    Jill Krementz is an American photographer and author best known for her portraits of writers and her work in children's literature.
  • E. Julie Weiss
    Julie Weiss is an acclaimed American costume designer known for her work in film, television, and theater, including multiple Academy Award–nominated productions.
  • 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_69e0b5006e2881909fc2383f841740cc completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc22ca6081908bf054ddcfea9e19 completed April 21, 2026, 4:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a094738a00081909ba4f1abfcf700aa completed May 17, 2026, 4:42 a.m.
NEDg Description generation batch_6a094b091dac8190afafd7af57af719d completed May 17, 2026, 4:58 a.m.
NED2 Entity disambiguation (via description) batch_6a094b65c1cc8190a0b3c764cb05f9f8 completed May 17, 2026, 5 a.m.
Created at: April 16, 2026, 1:51 p.m.