Triple

T12799450
Position Surface form Disambiguated ID Type / Status
Subject Ralf E305974 entity
Predicate relatedName P3889 FINISHED
Object Rolf E107047 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: Rolf | Statement: [Ralf, relatedName, Rolf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rolf
Context triple: [Ralf, relatedName, Rolf]
  • A. Rolf chosen
    Rolf is a masculine given name of Germanic origin commonly used in German-speaking and Scandinavian countries.
  • B. Rolph
    Rolph is a surname most notably associated with James Rolph, a prominent early 20th-century American politician and former mayor of San Francisco and governor of California.
  • C. Ralf
    Ralf is a masculine given name of German origin commonly used in German-speaking and Scandinavian countries.
  • D. Mel Wulf
    Mel Wulf was a prominent American civil liberties lawyer who served as legal director of the ACLU and was known for his work on landmark constitutional and free speech cases.
  • E. Rudi
    Rudi is the official mascot of the Cleveland Gladiators arena football team, known for energizing fans at games and team events.
  • 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_69d7bdf366888190a8cccb982606889c completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e6f858c8190915ede38e9a6a2df completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6850f9ae4819094599b48d8d3a074 completed May 2, 2026, 11:13 p.m.
Created at: April 9, 2026, 5:30 p.m.