Triple

T34249726
Position Surface form Disambiguated ID Type / Status
Subject The Baptism E878704 entity
Predicate parallelActionInFilm P178714 FINISHED
Object assassinations of rival mafia leaders 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: assassinations of rival mafia leaders | Statement: [The Baptism, parallelActionInFilm, assassinations of rival mafia leaders]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: parallelActionInFilm
Context triple: [The Baptism, parallelActionInFilm, assassinations of rival mafia leaders]
  • A. parallelSongInFilm
    Indicates that a song is used in a film in a way that parallels or mirrors another narrative, emotional, or visual element within that film.
  • B. sequenceInFilm
    Indicates that one entity is a specific sequence or segment that appears within the narrative or structure of a particular film.
  • C. alliedWithInFilm
    Indicates that two characters or entities are portrayed as allies or cooperating on the same side within the context of a specific film.
  • D. alsoFilmedIn
    Indicates that the same film or video production was additionally shot or recorded in another specified location.
  • E. placementInFilm
    Indicates the specific position or occurrence of something within the sequence or structure of a film.
  • F. None of above. chosen

Provenance (4 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_69f349b3618481909df955b063f305b2 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f713bfdc148190a249a7874320bab8 completed May 3, 2026, 9:22 a.m.
PD Predicate disambiguation batch_69f7127884388190884f23d181a65d19 completed May 3, 2026, 9:16 a.m.
PDg Predicate description generation batch_69f7135fa2988190a20a94cfe616d754 completed May 3, 2026, 9:20 a.m.
Created at: May 1, 2026, 1:56 a.m.