Triple

T7609118
Position Surface form Disambiguated ID Type / Status
Subject Walther E172186 entity
Predicate hasCognate P2525 FINISHED
Object Gualtiero E208903 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: Gualtiero | Statement: [Walther, hasCognate, Gualtiero]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gualtiero
Context triple: [Walther, hasCognate, Gualtiero]
  • A. Gualtiero chosen
    Gualtiero is an Italian given name equivalent to the English name Walter.
  • B. Oberto
    Oberto is a young boy character in Handel’s opera "Alcina," known for his quest to find his missing father on the enchantress’s island.
  • C. Antonio Montecatino
    Antonio Montecatino is a fictional character in Johann Wolfgang von Goethe’s play "Torquato Tasso," appearing among the court figures who shape the poet Tasso’s social and psychological conflicts.
  • D. Agostino
    Agostino is the Italian form of the given name Augustine, commonly used in Italy and among Italian-speaking communities.
  • E. Fabrizio
    Fabrizio is an Italian masculine given name of Latin origin, commonly used in Italy and among Italian-speaking communities.
  • 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_69c6994f50808190ba228764bb422417 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa1f6e888190ac6580724803fbc3 completed March 27, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8eefc58f08190b6d57608a2a296c8 completed March 29, 2026, 9:21 a.m.
Created at: March 27, 2026, 3:54 p.m.