Triple

T34376040
Position Surface form Disambiguated ID Type / Status
Subject The Regime E882288 entity
Predicate seriesNumberWithinPrequels P139312 FINISHED
Object 2 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: 2 | Statement: [The Regime, seriesNumberWithinPrequels, 2]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: seriesNumberWithinPrequels
Context triple: [The Regime, seriesNumberWithinPrequels, 2]
  • A. filmSeriesInstallmentNumber
    Indicates the specific sequential position that a film occupies within a film series.
  • B. seriesNumberInTrilogy chosen
    Indicates the position or installment number that a work occupies within a specific trilogy.
  • C. isPrequelTo
    Indicates that one work or event occurs earlier in time and narratively sets up or leads into another work or event.
  • D. prequelOrSequelTo
    Indicates that one work in a narrative series occurs earlier or later in the storyline or release order relative to another work, as its prequel or sequel.
  • E. hasSequelNumber
    Indicates that an entity is followed by another work in a series identified by a specific sequential number.
  • 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_69f349bf5d7481908dd5da4cbdf74047 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69fd35d108908190b79b1e8e6bbd62aa completed May 8, 2026, 1:01 a.m.
PD Predicate disambiguation batch_69fd34cb46108190b43c3b7f67ec4cd4 completed May 8, 2026, 12:56 a.m.
Created at: May 1, 2026, 1:59 a.m.