Triple

T15998339
Position Surface form Disambiguated ID Type / Status
Subject Matt Lanter E388031 entity
Predicate playedCharacter P1507 FINISHED
Object Roman E160408 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: Roman | Statement: [Matt Lanter, playedCharacter, Roman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roman
Context triple: [Matt Lanter, playedCharacter, Roman]
  • A. Roman chosen
    Roman is a masculine given name of Latin origin that has been borne by numerous historical and contemporary figures across Europe and beyond.
  • B. Roman
    Roman is a city in northeastern Romania known as an important regional industrial and transportation hub with historical roots dating back to the Middle Ages.
  • C. Roman
    Roman is a surname most notably associated with Nancy Grace Roman, a pioneering American astronomer often called the "Mother of Hubble" for her role in developing the Hubble Space Telescope.
  • D. Römer
    The Römer is Frankfurt am Main’s historic city hall complex, renowned for its distinctive stepped gabled façade and long-standing role as a center of municipal government.
  • E. Romanitas
    Romanitas refers to the cultural, political, and social ideals of “Romanness” that defined Roman identity and civilization across history.
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157893ebc8190acb75ee05e450fae completed April 16, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3d79dec8190b02e003f93e5dad6 completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:55 a.m.