Triple

T22183131
Position Surface form Disambiguated ID Type / Status
Subject Abällino, der große Bandit E548222 entity
Predicate titleCharacter P9202 FINISHED
Object Abällino NE NERFINISHED

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: Abällino | Statement: [Abällino, der große Bandit, titleCharacter, Abällino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abällino
Context triple: [Abällino, der große Bandit, titleCharacter, Abällino]
  • A. Abällino chosen
    Abällino is the titular master thief and central figure of the German play "Abällino, der große Bandit," known for his cunning, disguise, and dramatic transformation.
  • B. Erbalunga
    Erbalunga is a picturesque historic fishing village on the Cap Corse peninsula in northern Corsica, known for its old stone houses, small harbor, and scenic Mediterranean coastline.
  • C. Nigoglia
    Nigoglia is the short river in northern Italy that uniquely flows northward out of Lake Orta toward the Strona and ultimately the Toce River.
  • D. Arienzo
    Arienzo is a small town and comune in Italy’s Campania region, situated in the province of Caserta within the fertile Campanian plain.
  • E. Annino
    Annino is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line serving the Annino district in southern Moscow.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e3e0c7c8190b30d278845e2497e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12aa687808190b9959d4e91db948a completed April 28, 2026, 9:46 p.m.
Created at: April 16, 2026, 8:35 p.m.