Triple

T24597943
Position Surface form Disambiguated ID Type / Status
Subject Accidental Love E608734 entity
Predicate productionIssues P44223 FINISHED
Object The film experienced significant production and financing problems. LITERAL 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: The film experienced significant production and financing problems. | Statement: [Accidental Love, productionIssues, The film experienced significant production and financing problems.]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: productionIssues
Context triple: [Accidental Love, productionIssues, The film experienced significant production and financing problems.]
  • A. supplyProblems
    Indicates that there are issues or disruptions affecting the availability or delivery of a needed supply.
  • B. issues
    Indicates that an entity formally produces, releases, or distributes something, such as a document, order, or resource, making it officially available.
  • C. troubledProduction chosen
    Indicates that the production process of a work (such as a film, show, or project) experienced significant difficulties, delays, or conflicts.
  • D. programIssue
    Indicates that there is a problem, defect, or malfunction associated with a program or software system.
  • E. problems
    Indicates that one entity has issues, difficulties, or complications associated with or caused by another entity.
  • F. None of above.

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_69e2c4cf54248190af7b0c2d9ade9830 completed April 17, 2026, 11:39 p.m.
NER Named-entity recognition batch_69f2be044d4c819094e14eda28d371a7 completed April 30, 2026, 2:27 a.m.
PD Predicate disambiguation batch_69f2a6ca751c8190a040c10d701ecf3a completed April 30, 2026, 12:48 a.m.
Created at: April 18, 2026, 2:30 a.m.