Triple

T7137472
Position Surface form Disambiguated ID Type / Status
Subject Five Go Adventuring Again E166342 entity
Predicate hasCharacter P2308 FINISHED
Object Mr Roland E121395 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: Mr Roland | Statement: [Five Go Adventuring Again, hasCharacter, Mr Roland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mr Roland
Context triple: [Five Go Adventuring Again, hasCharacter, Mr Roland]
  • A. 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.
  • B. Rowland
    Rowland is the given name of R. H. Macy, the 19th-century American businessman who founded the Macy's department store chain.
  • C. Rowland
    Rowland is the namesake of the Jonsson-Rowland Science Center, likely a notable figure in science or education commemorated by the institution.
  • D. Rolf
    Rolf is a masculine given name of Germanic origin commonly used in German-speaking and Scandinavian countries.
  • E. Roland chosen
    Roland is a masculine given name of Germanic origin, historically associated with the legendary Frankish hero of "The Song of Roland" and later borne by various notable figures.
  • 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_69c68884a9388190af42f90d1c1a7151 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e6939b788190929e92ff481f2ee4 completed March 27, 2026, 8:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a34b99048190a8e77cd0fe253611 completed March 28, 2026, 9:45 a.m.
Created at: March 27, 2026, 2:45 p.m.