Triple

T5321324
Position Surface form Disambiguated ID Type / Status
Subject Bright Eyes (1934 film) E121679 entity
Predicate starring P1507 FINISHED
Object Judith Allen
Judith Allen was an American film actress of the 1930s and 1940s who appeared in numerous Hollywood productions, often in leading or prominent supporting roles.
E512199 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: Judith Allen | Statement: [Bright Eyes (1934 film), starring, Judith Allen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Judith Allen
Context triple: [Bright Eyes (1934 film), starring, Judith Allen]
  • A. Judith Kaye
    Judith Kaye was a pioneering American jurist who became the first woman and longest-serving Chief Judge of the New York Court of Appeals.
  • B. Judith Nelson
    Judith Nelson was an American soprano known for her pioneering work and acclaimed performances in the early music and Baroque repertoire.
  • C. Margaret Jacobs
    Margaret Jacobs was a young accuser and later recanting witness in the Salem witch trials of 1692.
  • D. Judith Gellman
    Judith Gellman is a costume designer best known for her work on the 1995 film adaptation of "A Little Princess."
  • E. Judith F. Marks
    Judith F. Marks is an American business executive known for her leadership roles in major industrial and technology companies, including serving as a top executive at Otis Elevator Company.
  • 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: Judith Allen
Triple: [Bright Eyes (1934 film), starring, Judith Allen]
Generated description
Judith Allen was an American film actress of the 1930s and 1940s who appeared in numerous Hollywood productions, often in leading or prominent supporting roles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Judith Allen
Target entity description: Judith Allen was an American film actress of the 1930s and 1940s who appeared in numerous Hollywood productions, often in leading or prominent supporting roles.
  • A. Judith Kaye
    Judith Kaye was a pioneering American jurist who became the first woman and longest-serving Chief Judge of the New York Court of Appeals.
  • B. Judith Nelson
    Judith Nelson was an American soprano known for her pioneering work and acclaimed performances in the early music and Baroque repertoire.
  • C. Margaret Jacobs
    Margaret Jacobs was a young accuser and later recanting witness in the Salem witch trials of 1692.
  • D. Judith Gellman
    Judith Gellman is a costume designer best known for her work on the 1995 film adaptation of "A Little Princess."
  • E. Judith F. Marks
    Judith F. Marks is an American business executive known for her leadership roles in major industrial and technology companies, including serving as a top executive at Otis Elevator Company.
  • 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_69bd463d956c819088105c3db802c017 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85761ec48190879210af116ed8b9 completed March 20, 2026, 5:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf18a4dff48190bce18f0106c7a8e7 completed March 21, 2026, 10:16 p.m.
NEDg Description generation batch_69bf1a493ddc8190ac5d1889b9d64ec2 completed March 21, 2026, 10:23 p.m.
NED2 Entity disambiguation (via description) batch_69bf1aa2fbec819088cd8be8505e4697 completed March 21, 2026, 10:24 p.m.
Created at: March 20, 2026, 1:59 p.m.