Triple

T7093444
Position Surface form Disambiguated ID Type / Status
Subject Ernest Laszlo E165261 entity
Predicate name P16 FINISHED
Object Ernest Laszlo E165261 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: Ernest Laszlo | Statement: [Ernest Laszlo, name, Ernest Laszlo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ernest Laszlo
Context triple: [Ernest Laszlo, name, Ernest Laszlo]
  • A. Ernest Laszlo chosen
    Ernest Laszlo was a Hungarian-American cinematographer renowned for his work on numerous classic Hollywood films and for winning an Academy Award for Best Cinematography.
  • B. Laszlo Molnar
    Laszlo Molnar is a software developer and author known for creating the UPX (Ultimate Packer for Executables) executable compression tool.
  • C. Othon Friesz
    Othon Friesz was a French painter known for his bold use of color and expressive style, associated with the early 20th-century Fauvist movement.
  • D. Miklos Molnar
    Miklos Molnar is a retired Danish-Hungarian footballer and striker best known for scoring the winning goal for the Kansas City Wizards in the 2000 MLS Cup final.
  • E. Werner Lorant
    Werner Lorant is a German football manager and former player best known for leading TSV 1860 Munich from the lower leagues back into the Bundesliga in the 1990s.
  • 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_69c6887e8c10819091cee237560d32da completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e55159848190a794ad77e60c5525 completed March 27, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79c960484819098228cebccb8c935 completed March 28, 2026, 9:17 a.m.
Created at: March 27, 2026, 2:41 p.m.