Triple

T21579157
Position Surface form Disambiguated ID Type / Status
Subject Lorenz Adlon E532478 entity
Predicate familyName P18 FINISHED
Object Adlon NE NERFINISHED

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: Adlon | Statement: [Lorenz Adlon, familyName, Adlon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adlon
Context triple: [Lorenz Adlon, familyName, Adlon]
  • A. Adlon chosen
    Adlon is a German-American family name most prominently associated with a lineage of film and television actors and directors.
  • B. Carlone
    Carlone is an Italian surname, historically associated with several notable artists and architects from the Renaissance and Baroque periods.
  • C. Vinzons
    Vinzons is a coastal municipality in the province of Camarines Norte in the Bicol Region of the Philippines, known for its agricultural economy and access to nearby island beaches.
  • D. Brodine
    Brodine is a surname most notably associated with American cinematographer Norbert Brodine.
  • E. Aijalon
    Aijalon is an ancient Canaanite city in the Shephelah region of Israel, noted in the Hebrew Bible for its strategic location and role in several Israelite tribal territories and battles.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c4618bec8190bcb0feb74568cbb1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeeb5ac1048190aa45d7d3c780b5c9 completed April 27, 2026, 4:51 a.m.
Created at: April 16, 2026, 6:31 p.m.