Triple

T6485963
Position Surface form Disambiguated ID Type / Status
Subject Nina Foch E146509 entity
Predicate notableWork P4 FINISHED
Object Executive Suite E547947 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: Executive Suite | Statement: [Nina Foch, notableWork, Executive Suite]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Executive Suite
Context triple: [Nina Foch, notableWork, Executive Suite]
  • A. Executive Suite chosen
    Executive Suite is a 1954 American drama film about corporate power struggles in a furniture company, featuring an ensemble cast that includes June Allyson, William Holden, and Barbara Stanwyck.
  • B. Executive One
    Executive One is the air traffic control call sign used for any civilian aircraft carrying the President of the United States.
  • C. Executive Towers
    Executive Towers is a prominent mixed-use residential and commercial complex in Dubai’s Business Bay district, known for its cluster of high-rise towers and proximity to major business and leisure hubs.
  • D. Executive Club
    Executive Club is British Airways’ frequent flyer loyalty program that rewards members with points, status tiers, and travel benefits for flying and partner activity.
  • E. One Office
    One Office is an integrated organizational model used in the UN’s “Delivering as One” approach to streamline internal operations and support more coherent, efficient country-level work.
  • 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_69c0090158c08190af0df9a2348d2d52 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a706d4c8190b7a3cc8855abcecb completed March 22, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c653b4e91c81908dfa1798a057b21a completed March 27, 2026, 9:53 a.m.
Created at: March 22, 2026, 4:52 p.m.