Triple

T11902725
Position Surface form Disambiguated ID Type / Status
Subject Walter Lassally E283194 entity
Predicate familyName P18 FINISHED
Object Lassally
Lassally is a German-origin surname most notably associated with Walter Lassally, an acclaimed cinematographer known for his work in British and Greek cinema.
 E953765 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: Lassally | Statement: [Walter Lassally, familyName, Lassally]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lassally
Context triple: [Walter Lassally, familyName, Lassally]
  • A. Lardé
    Lardé is the surname of Alicia Esther Lardé, a Salvadoran-born physicist and the first wife of mathematician John Nash.
  • B. Lusser
    Lusser is a German surname most notably associated with engineer Robert Lusser, known for his contributions to aeronautics and reliability engineering.
  • C. Jacquère
    Jacquère is a light, crisp white wine grape variety primarily grown in the Alpine regions of eastern France, known for producing fresh, mineral-driven wines.
  • D. Larche
    Larche is a commune in the Corrèze department of south-central France, situated within the Brive-la-Gaillarde area.
  • E. Larche
    Larche is a small village in the French Alps near the Italian border, known as a gateway to the surrounding mountain passes and hiking routes.
  • 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: Lassally
Triple: [Walter Lassally, familyName, Lassally]
Generated description
Lassally is a German-origin surname most notably associated with Walter Lassally, an acclaimed cinematographer known for his work in British and Greek cinema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lassally
Target entity description: Lassally is a German-origin surname most notably associated with Walter Lassally, an acclaimed cinematographer known for his work in British and Greek cinema.
  • A. Lardé
    Lardé is the surname of Alicia Esther Lardé, a Salvadoran-born physicist and the first wife of mathematician John Nash.
  • B. Lusser
    Lusser is a German surname most notably associated with engineer Robert Lusser, known for his contributions to aeronautics and reliability engineering.
  • C. Jacquère
    Jacquère is a light, crisp white wine grape variety primarily grown in the Alpine regions of eastern France, known for producing fresh, mineral-driven wines.
  • D. Larche
    Larche is a commune in the Corrèze department of south-central France, situated within the Brive-la-Gaillarde area.
  • E. Larche
    Larche is a small village in the French Alps near the Italian border, known as a gateway to the surrounding mountain passes and hiking routes.
  • 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_69d6ab2c07e88190ba13b0d21fd6cf33 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8dd1792648190853f15fbf217eebd completed April 10, 2026, 11:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69f4183d29b081908cfbf4d91a365681 completed May 1, 2026, 3:04 a.m.
NEDg Description generation batch_69f41f1d2da0819082f00cf61a6530b6 completed May 1, 2026, 3:33 a.m.
NED2 Entity disambiguation (via description) batch_69f4228a73708190a6d2db321e175921 completed May 1, 2026, 3:48 a.m.
Created at: April 8, 2026, 9:44 p.m.