Triple

T15047805
Position Surface form Disambiguated ID Type / Status
Subject White House Farm E379275 entity
Predicate writer P1360 FINISHED
Object Giula Sandler
Giula Sandler is a screenwriter best known for her work on the British true-crime drama series "White House Farm."
E1156561 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: Giula Sandler | Statement: [White House Farm, writer, Giula Sandler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Giula Sandler
Context triple: [White House Farm, writer, Giula Sandler]
  • A. Aida Braverman
    Aida Braverman is a fictional child character from the television series "Parenthood," known as the daughter of Crosby Braverman and Jasmine Trussell.
  • B. Lila Schwarzenberg
    Lila Schwarzenberg is an Austrian journalist, philanthropist, and former Czech countess known for her cultural and charitable work in Europe.
  • C. Dvora Teitelbaum
    Dvora Teitelbaum is a scientist known for her research collaborations with immunologist Ruth Arnon, particularly in the field of biomedical science.
  • D. Tatia Rosenthal
    Tatia Rosenthal is an Israeli-born film director and animator best known for her stop-motion feature "9.99$" and her work in independent animation.
  • E. Margot Löwenthal
    Margot Löwenthal was the daughter of Elsa Löwenthal, who was Albert Einstein’s second wife and cousin.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Giula Sandler
Triple: [White House Farm, writer, Giula Sandler]
Generated description
Giula Sandler is a screenwriter best known for her work on the British true-crime drama series "White House Farm."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Giula Sandler
Target entity description: Giula Sandler is a screenwriter best known for her work on the British true-crime drama series "White House Farm."
  • A. Aida Braverman
    Aida Braverman is a fictional child character from the television series "Parenthood," known as the daughter of Crosby Braverman and Jasmine Trussell.
  • B. Lila Schwarzenberg
    Lila Schwarzenberg is an Austrian journalist, philanthropist, and former Czech countess known for her cultural and charitable work in Europe.
  • C. Dvora Teitelbaum
    Dvora Teitelbaum is a scientist known for her research collaborations with immunologist Ruth Arnon, particularly in the field of biomedical science.
  • D. Tatia Rosenthal
    Tatia Rosenthal is an Israeli-born film director and animator best known for her stop-motion feature "9.99$" and her work in independent animation.
  • E. Margot Löwenthal
    Margot Löwenthal was the daughter of Elsa Löwenthal, who was Albert Einstein’s second wife and cousin.
  • 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_69d85cd64d108190853797a95c11cc45 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69deda8e64e48190873104a02a676ff3 completed April 15, 2026, 12:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a61136081908198806944c81808 completed May 9, 2026, 11:28 a.m.
NEDg Description generation batch_69ff1bc3aa2c8190b61d21fa78682ea1 completed May 9, 2026, 11:34 a.m.
NED2 Entity disambiguation (via description) batch_69ff1cbccab48190b9e19b5a09324d8c completed May 9, 2026, 11:38 a.m.
Created at: April 10, 2026, 3 a.m.