Triple

T5778670
Position Surface form Disambiguated ID Type / Status
Subject Michael Balcon E127505 entity
Predicate notableWork P4 FINISHED
Object Frieda
Frieda is a 1947 British drama film produced by Michael Balcon that explores post-World War II tensions and prejudice in England.
 E546186 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: Frieda | Statement: [Michael Balcon, notableWork, Frieda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Frieda
Context triple: [Michael Balcon, notableWork, Frieda]
  • A. Freda
    Freda is a feminine given name, often used in English-speaking countries and derived from names like Winifred or Frederica.
  • B. Berta
    Berta is a fictional character in Paulo Coelho’s novel "The Devil and Miss Prym," serving as one of the villagers whose life and choices reflect the book’s central moral and spiritual dilemmas.
  • C. Berta
    Berta is a Nilo-Saharan language spoken primarily in parts of Sudan and Ethiopia.
  • D. Frau Frieda
    Frau Frieda is a mysterious, dream-haunted woman at the center of Gabriel García Márquez’s short story “I Sell My Dreams,” known for making a living by interpreting and selling her prophetic dreams.
  • E. Baerbel
    Baerbel is a feminine given name of German origin, commonly used as an alternative spelling of Bärbel.
  • 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: Frieda
Triple: [Michael Balcon, notableWork, Frieda]
Generated description
Frieda is a 1947 British drama film produced by Michael Balcon that explores post-World War II tensions and prejudice in England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Frieda
Target entity description: Frieda is a 1947 British drama film produced by Michael Balcon that explores post-World War II tensions and prejudice in England.
  • A. Freda
    Freda is a feminine given name, often used in English-speaking countries and derived from names like Winifred or Frederica.
  • B. Berta
    Berta is a fictional character in Paulo Coelho’s novel "The Devil and Miss Prym," serving as one of the villagers whose life and choices reflect the book’s central moral and spiritual dilemmas.
  • C. Berta
    Berta is a Nilo-Saharan language spoken primarily in parts of Sudan and Ethiopia.
  • D. Frau Frieda
    Frau Frieda is a mysterious, dream-haunted woman at the center of Gabriel García Márquez’s short story “I Sell My Dreams,” known for making a living by interpreting and selling her prophetic dreams.
  • E. Baerbel
    Baerbel is a feminine given name of German origin, commonly used as an alternative spelling of Bärbel.
  • 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_69c008361fa88190aefa4dc41b051e7f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c029e107348190a03086f1cbfae0d3 completed March 22, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e735f408190b188b94131f1e51b completed March 22, 2026, 11:42 p.m.
NEDg Description generation batch_69c08dc00df48190ad2cf716ad6eeb87 completed March 23, 2026, 12:48 a.m.
NED2 Entity disambiguation (via description) batch_69c08e3b05a881909892ce776309920d completed March 23, 2026, 12:50 a.m.
Created at: March 22, 2026, 3:50 p.m.