Triple

T13071826
Position Surface form Disambiguated ID Type / Status
Subject Paths of Glory E329474 entity
Predicate editor P1954 FINISHED
Object Eva Kroll
Eva Kroll is a film editor best known for her work on the classic anti-war movie "Paths of Glory."
E1029943 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: Eva Kroll | Statement: [Paths of Glory, editor, Eva Kroll]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eva Kroll
Context triple: [Paths of Glory, editor, Eva Kroll]
  • A. Eva Wagner
    Eva Wagner was a daughter of the famed German composer Richard Wagner, belonging to the prominent Wagner family closely associated with the Bayreuth Festival.
  • B. Eva Schubach
    Eva Schubach is known as a former spouse of Gerhard Schröder, the one-time Chancellor of Germany.
  • C. Eva Huber
    Eva Huber is a notable individual who shares the surname Huber, recognized enough to be specifically cited as a bearer of the name.
  • D. Eva Karl
    Eva Karl was the German mother of Soraya Esfandiary-Bakhtiary, the former Queen consort of Iran and second wife of Shah Mohammad Reza Pahlavi.
  • E. Eva Zinner
    Eva Zinner is the daughter of Austrian-born American film editor Peter Zinner, known for his work on classic Hollywood films.
  • 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: Eva Kroll
Triple: [Paths of Glory, editor, Eva Kroll]
Generated description
Eva Kroll is a film editor best known for her work on the classic anti-war movie "Paths of Glory."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Eva Kroll
Target entity description: Eva Kroll is a film editor best known for her work on the classic anti-war movie "Paths of Glory."
  • A. Eva Wagner
    Eva Wagner was a daughter of the famed German composer Richard Wagner, belonging to the prominent Wagner family closely associated with the Bayreuth Festival.
  • B. Eva Schubach
    Eva Schubach is known as a former spouse of Gerhard Schröder, the one-time Chancellor of Germany.
  • C. Eva Huber
    Eva Huber is a notable individual who shares the surname Huber, recognized enough to be specifically cited as a bearer of the name.
  • D. Eva Karl
    Eva Karl was the German mother of Soraya Esfandiary-Bakhtiary, the former Queen consort of Iran and second wife of Shah Mohammad Reza Pahlavi.
  • E. Eva Zinner
    Eva Zinner is the daughter of Austrian-born American film editor Peter Zinner, known for his work on classic Hollywood films.
  • 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980ee6130819095d835e7ff6a8c5b completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f70a227d2c81908da0089d0e0387c6 completed May 3, 2026, 8:41 a.m.
NEDg Description generation batch_69f70c000da081909297f3d24666b6a5 completed May 3, 2026, 8:49 a.m.
NED2 Entity disambiguation (via description) batch_69f70ce60a7081908f9498fcfec98e90 completed May 3, 2026, 8:52 a.m.
Created at: April 9, 2026, 9 p.m.