Triple

T8261476
Position Surface form Disambiguated ID Type / Status
Subject The Snows of Kilimanjaro E193204 entity
Predicate firstPublishedIn P309 FINISHED
Object Esquire E85384 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: Esquire | Statement: [The Snows of Kilimanjaro, firstPublishedIn, Esquire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Esquire
Context triple: [The Snows of Kilimanjaro, firstPublishedIn, Esquire]
  • A. Esquire
    Esquire is a courtesy title traditionally used in English-speaking countries to denote a man of higher social rank or, in modern usage, a practicing lawyer in the United States.
  • B. Esquire magazine chosen
    Esquire magazine is a long-running American men’s magazine known for its literary journalism, in-depth reporting, and stylish coverage of culture, politics, and fashion.
  • C. GQ
    GQ is the two-letter ISO 3166-1 alpha-2 country code for Equatorial Guinea, a Central African nation on the Atlantic coast.
  • D. GQ
    GQ is a leading international men's magazine known for its coverage of fashion, culture, and style.
  • E. Cosmopolitan magazine
    Cosmopolitan magazine is a long-running American monthly publication best known for its focus on fashion, relationships, and lifestyle topics, particularly aimed at young women.
  • 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_69ca82e081d48190986beaa51f498ab9 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7936b72c8190b998da033df611d1 completed March 31, 2026, 7:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd3564c8508190a1c6575756043aa1 completed April 1, 2026, 3:10 p.m.
Created at: March 30, 2026, 5:49 p.m.