Triple

T38367921
Position Surface form Disambiguated ID Type / Status
Subject Inversion E892499 entity
Predicate associatedWithProductionYear P112094 FINISHED
Object 2019–2020 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: 2019–2020 | Statement: [Inversion, associatedWithProductionYear, 2019–2020]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithProductionYear
Context triple: [Inversion, associatedWithProductionYear, 2019–2020]
  • A. associatedWithYearFilm
    Indicates a relationship where something (such as an event, award, or record) is linked to or pertains to a specific film released or identified in a given year.
  • B. yearOfProduction chosen
    Indicates the specific year in which an item, work, or product was created or manufactured.
  • C. yearAssociated
    Indicates a specific year that is relevant or linked to an entity, event, or relationship (such as the year it occurred, was created, or is otherwise associated).
  • D. associatedWithAlbumReleaseYear
    Indicates that there is a relationship between an album and the specific year in which that album was released.
  • E. associatedClassYear
    Indicates a relationship linking an entity to the specific academic class year with which it is connected or identified.
  • 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_69f76e47cb4c8190bdd92cd1db59c0c5 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_6a037c903be48190a2fafa53d7d50d42 completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a037a1c850c819088795a7ae59bdeb8 completed May 12, 2026, 7:06 p.m.
Created at: May 3, 2026, 4:31 p.m.