Triple

T12197027
Position Surface form Disambiguated ID Type / Status
Subject Shada E290613 entity
Predicate hasLaterCompletion P41796 FINISHED
Object 1992 VHS reconstruction 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: 1992 VHS reconstruction | Statement: [Shada, hasLaterCompletion, 1992 VHS reconstruction]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLaterCompletion
Context triple: [Shada, hasLaterCompletion, 1992 VHS reconstruction]
  • A. hasSubsequentWork
    Indicates that one work is followed by another work that continues, succeeds, or builds upon it in sequence.
  • B. hasSubsequent
    Indicates that one entity occurs, appears, or is positioned after another in a defined sequence or order.
  • C. laterCompletionVersion chosen
    Indicates that one entity is a version of a completion that occurs or is produced later in time than another related version.
  • D. hasNotCompleted
    Indicates that an entity has an expected task, process, or requirement that remains unfinished or not yet fulfilled.
  • E. isComplete
    Indicates that an action, process, or object has finished all required steps or reached its final state with nothing remaining to be done.
  • 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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d938cd2edc8190b1971349dbc0dee0 completed April 10, 2026, 5:52 p.m.
PD Predicate disambiguation batch_69d91c38321c819080d500d0d64a04f6 completed April 10, 2026, 3:50 p.m.
Created at: April 8, 2026, 9:50 p.m.