Triple

T13841236
Position Surface form Disambiguated ID Type / Status
Subject Hôtel de Crillon E332659 entity
Predicate notableGuest P10756 FINISHED
Object Taylor Swift E43686 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: Taylor Swift | Statement: [Hôtel de Crillon, notableGuest, Taylor Swift]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taylor Swift
Context triple: [Hôtel de Crillon, notableGuest, Taylor Swift]
  • A. Taylor Swift chosen
    Taylor Swift is an American singer-songwriter known for her narrative songwriting, evolution from country to pop and indie styles, and massive global cultural and commercial impact.
  • B. Ariana Grande
    Ariana Grande is an American pop and R&B singer, songwriter, and actress known for her powerful, Mariah Carey–like vocal range and numerous chart-topping hits.
  • C. Mimi Rogers Swift
    Mimi Rogers Swift is the adopted daughter of American singer, actress, and cowgirl icon Dale Evans.
  • D. Katy Perry
    Katy Perry is an American pop singer and songwriter known for chart-topping hits like "Firework" and "Roar" and her colorful, theatrical performances.
  • E. Shayne Audra Murphy
    Shayne Audra Murphy is an American model and television personality, best known as the daughter of comedian Eddie Murphy and model Nicole Mitchell Murphy.
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02ae5e4c8190ad85ad2968bc71b2 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8cd0280819081c524660f3822f3 completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 10:13 p.m.