Triple

T5044044
Position Surface form Disambiguated ID Type / Status
Subject Hrólfr E113616 entity
Predicate alsoKnownAs P39 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: [Hrólfr, alsoKnownAs, Rolf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rolf
Context triple: [Hrólfr, alsoKnownAs, 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 a common diminutive form of the given name Rudolf, used in various European languages.
  • 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_69bd44391fc48190a311ce9c826c209b completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd73fc04f08190aba851fa0192d0fb completed March 20, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c8ad6408190bf4408af7b095a12 completed March 21, 2026, 1:26 p.m.
Created at: March 20, 2026, 1:37 p.m.