Triple

T6718267
Position Surface form Disambiguated ID Type / Status
Subject Christopher Buckley E153327 entity
Predicate employer P7 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: [Christopher Buckley, employer, Esquire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Esquire
Context triple: [Christopher Buckley, employer, 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 a leading international men's magazine known for its coverage of fashion, culture, and style.
  • D. 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.
  • E. Runway magazine
    Runway magazine is the fictional high-fashion magazine in "The Devil Wears Prada," modeled on influential publications like Vogue and serving as the story’s glamorous yet cutthroat workplace backdrop.
  • 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_69c68809b4608190a2509ddb5ab87f05 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d12765a48190b485176dc2ffa0fa completed March 27, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7009b9b64819095ae1a65cd72c374 completed March 27, 2026, 10:11 p.m.
Created at: March 27, 2026, 2:07 p.m.