Triple

T837548
Position Surface form Disambiguated ID Type / Status
Subject French Without Tears (film) E18102 entity
Predicate basedOn P98 FINISHED
Object French Without Tears E18102 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: French Without Tears | Statement: [French Without Tears (film), basedOn, French Without Tears]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: French Without Tears
Context triple: [French Without Tears (film), basedOn, French Without Tears]
  • A. French Without Tears chosen
    French Without Tears is a light-hearted 1936 stage comedy by British playwright Terence Rattigan, centered on young adults struggling with language lessons and romantic entanglements at a French seaside school.
  • B. MFL
    MFL is a common abbreviation for "Modern Foreign Languages," typically referring to the study of contemporary non-native languages in educational settings.
  • C. French
    French is a Romance language that evolved from Latin and is now spoken worldwide as both a native and official language in many countries.
  • D. Francophone Library
    The Francophone Library is a specialized section of the Bibliotheca Alexandrina dedicated to French-language collections and resources serving Francophone communities and scholars.
  • E. Langues
    Langues were the regional administrative divisions of the Knights Hospitaller, grouping members by their geographic and linguistic origins.
  • 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.