Triple

T16281723
Position Surface form Disambiguated ID Type / Status
Subject Christine Nagel E395278 entity
Predicate knownFor P22 FINISHED
Object Armani Sensi E161915 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: Armani Sensi | Statement: [Christine Nagel, knownFor, Armani Sensi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Armani Sensi
Context triple: [Christine Nagel, knownFor, Armani Sensi]
  • A. Armani chosen
    Armani is a renowned Italian luxury fashion house celebrated worldwide for its elegant, minimalist designs in clothing, accessories, and fragrances.
  • B. Profumo
    "Profumo" is a popular 1986 rock song by Italian singer-songwriter Gianna Nannini, known for its passionate vocals and melodic, guitar-driven sound.
  • C. Profumo
    Profumo is an Italian surname most famously associated with John Profumo, the British politician at the center of the 1963 Profumo affair scandal.
  • D. Dior Addict
    Dior Addict is a popular fragrance line from Parfums Christian Dior known for its sensual, modern scents and sleek, sophisticated packaging.
  • E. Armani Caesar
    Armani Caesar is an American rapper and first lady of the Buffalo-based hip-hop collective Griselda Records, known for her gritty lyricism and street-influenced style.
  • 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24910c6b881909ae5cc0908dd8eb2 completed April 17, 2026, 2:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017c6b72081908a21e5099f463b62 completed May 10, 2026, 5:29 a.m.
Created at: April 10, 2026, 5:05 a.m.