Triple

T11902723
Position Surface form Disambiguated ID Type / Status
Subject Walter Lassally E283194 entity
Predicate name P16 FINISHED
Object Walter Lassally E283194 NE FINISHED

How this triple was built (2 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: Walter Lassally | Statement: [Walter Lassally, name, Walter Lassally]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walter Lassally
Context triple: [Walter Lassally, name, Walter Lassally]
  • A. Walter Lassally chosen
    Walter Lassally was a renowned German-born British cinematographer celebrated for his influential work in both British New Wave cinema and international art films.
  • B. Ernest Schaufelberg
    Ernest Schaufelberg was a theatre architect best known for designing the Adelphi Theatre in London.
  • C. Louis Butz
    Louis Butz is an individual notable enough to be recognized as a prominent bearer of the surname Butz.
  • D. Paul Weigel
    Paul Weigel was a German-born American character actor active in early 20th-century cinema, appearing in numerous silent and early sound films.
  • E. Charles Lauth
    Charles Lauth was a French chemist and industrialist known for co-founding the École de Physique et Chimie Industrielles de la Ville de Paris, a leading institution in applied science and engineering.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69f4587d1e548190b741a11d2ef63595 completed May 1, 2026, 7:38 a.m.
Created at: April 8, 2026, 9:44 p.m.