Triple

T8469120
Position Surface form Disambiguated ID Type / Status
Subject Genoveva, Op. 81 E200236 entity
Predicate mainCharacter P1183 FINISHED
Object Golo E226881 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: Golo | Statement: [Genoveva, Op. 81, mainCharacter, Golo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Golo
Context triple: [Genoveva, Op. 81, mainCharacter, Golo]
  • A. Golo chosen
    Golo is a masculine given name most notably borne by the German historian and essayist Golo Mann.
  • B. Golus
    Golus is a Yiddish term referring to the Jewish exile and dispersion from their ancestral homeland, encompassing both the physical diaspora and its spiritual-historical implications.
  • C. Golian
    Golian is a Slovak surname most notably associated with Ján Golian, a key military leader of the Slovak National Uprising during World War II.
  • D. Gradoli
    Gradoli is a small historic town in Italy’s Lazio region, situated in the hills above Lake Bolsena and known for its scenic views and Renaissance architecture.
  • E. Gardein
    Gardein is a plant-based food brand known for its wide range of meatless products such as chicken, beef, and fish alternatives made from soy, wheat, and pea proteins.
  • 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_69ca831a4f348190bfdd09250e86ae35 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe4d5dd088190a79050417f527f14 completed March 31, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce39f45c3081908ea50810f0a386d6 completed April 2, 2026, 9:42 a.m.
Created at: March 30, 2026, 6:11 p.m.