Triple

T837529
Position Surface form Disambiguated ID Type / Status
Subject Separate Tables (1958 film) E18101 entity
Predicate basedOn P98 FINISHED
Object Separate Tables E18101 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: Separate Tables | Statement: [Separate Tables (1958 film), basedOn, Separate Tables]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Separate Tables
Context triple: [Separate Tables (1958 film), basedOn, Separate Tables]
  • A. Separate Tables chosen
    Separate Tables is a 1954 stage play by British dramatist Terence Rattigan, set in a seaside hotel and renowned for its intertwined stories of lonely, socially constrained guests.
  • B. TBL
    TBL is the standard NHL abbreviation for the Tampa Bay Lightning professional ice hockey team.
  • C. Tableau
    Tableau is a widely used data visualization and business intelligence software platform that enables users to analyze, explore, and present data through interactive dashboards and reports.
  • D. Tisch
    Tisch is a surname most prominently associated with the American Tisch family, known for their influence in business, philanthropy, and the entertainment industry.
  • E. Without Equal
    "Without Equal" is the English motto expressing the unmatched excellence and elite status of the U.S. Army Special Operations Command.
  • 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_69a49389f44881909a608fb27d89f247 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4abcf69888190b342363978273ae2 completed March 1, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d9cddb48190b0d297c2cc9f3b3c completed March 3, 2026, 11:24 p.m.
Created at: March 1, 2026, 7:38 p.m.