Triple

T10785784
Position Surface form Disambiguated ID Type / Status
Subject Kuppenheimer clothing advertisements E254447 entity
Predicate brand P1500 FINISHED
Object Kuppenheimer E254451 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: Kuppenheimer | Statement: [Kuppenheimer clothing advertisements, brand, Kuppenheimer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kuppenheimer
Context triple: [Kuppenheimer clothing advertisements, brand, Kuppenheimer]
  • A. Kuppenheimer chosen
    Kuppenheimer was a prominent American men's clothing company best known for its high-quality suits and influential early 20th-century advertising campaigns.
  • B. Kupferberg
    Kupferberg is a small town in the Bavarian region of Germany, known for its historical charm and location within the Franconian landscape.
  • C. Kurtzberg
    Kurtzberg is the birth surname of legendary comic book creator Jack Kirby, co-architect of much of the Marvel Universe.
  • D. Treisberg
    Treisberg is a small village and district within the municipality of Schmitten in the Hochtaunus region of Hesse, Germany.
  • E. Kurnitz
    Kurnitz is a surname most notably associated with American playwright and screenwriter Harry Kurnitz.
  • 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_69d6aa609f008190a294200aefcb7bd5 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d732d44b488190a9f3ab9b177e737a completed April 9, 2026, 5:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69de5609bf9c81908f47591f74c04701 completed April 14, 2026, 2:58 p.m.
Created at: April 8, 2026, 9:17 p.m.