Triple

T13535046
Position Surface form Disambiguated ID Type / Status
Subject John Roemer E323238 entity
Predicate familyName P18 FINISHED
Object Roemer E533403 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: Roemer | Statement: [John Roemer, familyName, Roemer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roemer
Context triple: [John Roemer, familyName, Roemer]
  • A. Roemer chosen
    Roemer is a surname most notably associated with Timothy J. Roemer, an American politician and former U.S. ambassador.
  • B. Ole Rømer
    Ole Rømer was a 17th-century Danish astronomer best known for being the first to quantify the finite speed of light through his observations of Jupiter’s moons.
  • C. Nicolaus
    Nicolaus is a small unincorporated community in Sutter County, California, located near the Feather River in the Sacramento Valley.
  • D. Nicolaus
    Nicolaus is a Latin given name of Greek origin, historically borne by various religious figures, scholars, and notable individuals across Europe.
  • E. Abbas Montis Cassini
    Abbas Montis Cassini is the traditional Latin title used for the abbot who leads the historic Benedictine monastery of Monte Cassino in Italy.
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafbcad2881909fb7490311807f75 completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d9a448c81908fa57a909a9097f7 completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:44 p.m.