Triple

T11809757
Position Surface form Disambiguated ID Type / Status
Subject Davidoff E280841 entity
Predicate product P490 FINISHED
Object Davidoff Adventure E280841 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: Davidoff Adventure | Statement: [Davidoff, product, Davidoff Adventure]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Davidoff Adventure
Context triple: [Davidoff, product, Davidoff Adventure]
  • A. Davidoff chosen
    Davidoff is a premium lifestyle brand best known for its luxury cigars, tobacco products, and fragrances.
  • B. Montecristo
    Montecristo is a Mexican telenovela adaptation of Alexandre Dumas' "The Count of Monte Cristo," known for its themes of betrayal, revenge, and redemption.
  • C. Montecristo
    Montecristo is a remote, rugged Italian island in the Tyrrhenian Sea, famed for its strict nature reserve status and its role as the setting of Alexandre Dumas’ novel "The Count of Monte Cristo."
  • D. Dunhill
    Dunhill is a premium cigarette brand known for its association with luxury and high-quality tobacco products.
  • E. Havana Club
    Havana Club is a well-known Cuban rum brand recognized globally for its traditional production methods and association with Cuban cocktail culture.
  • 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_69d6ab26aae88190b2489efcb2a24234 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5ca50a081908a198b336d8c2b98 completed April 10, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69f28110623481908354bdd4e437f99e completed April 29, 2026, 10:07 p.m.
Created at: April 8, 2026, 9:42 p.m.