Triple

T4946133
Position Surface form Disambiguated ID Type / Status
Subject Noma Bar E111054 entity
Predicate hasClient P734 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: [Noma Bar, hasClient, Esquire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Esquire
Context triple: [Noma Bar, hasClient, 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_69bd441721cc819085c7e33fe0876818 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd70aa890c81908e685ec5e88cae1f completed March 20, 2026, 4:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69be77c873dc81909129644cf929ed5e completed March 21, 2026, 10:49 a.m.
Created at: March 20, 2026, 1:31 p.m.