Triple

T26918343
Position Surface form Disambiguated ID Type / Status
Subject Cinephone E677574 entity
Predicate synchronizationType P161327 FINISHED
Object sound-on-film 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: sound-on-film | Statement: [Cinephone, synchronizationType, sound-on-film]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: synchronizationType
Context triple: [Cinephone, synchronizationType, sound-on-film]
  • A. synchronizationRole
    Indicates the specific function or responsibility an entity has within a synchronization process or coordination relationship with other entities.
  • B. synchronizationDirection
    Indicates the direction in which data or state is synchronized between related entities (e.g., one-way or bidirectional).
  • C. synchronizationTrigger
    Indicates that one process, event, or condition initiates or controls the timing of another so they occur in a coordinated or synchronized manner.
  • D. synchronizesWith
    Indicates that two or more entities coordinate their states or activities so that they occur in step or remain temporally consistent with each other.
  • E. synchronizationSoftware
    Indicates that one entity is software designed to synchronize data, states, or processes between multiple systems, devices, or components.
  • 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_69eee9bdebc48190ba90a12a63e09c73 completed April 27, 2026, 4:44 a.m.
NER Named-entity recognition batch_69f6200ac60481909895c61d050b1338 completed May 2, 2026, 4:02 p.m.
PD Predicate disambiguation batch_69f611af72ac819094598dd2530d7411 completed May 2, 2026, 3:01 p.m.
PDg Predicate description generation batch_69f6125e54e0819088ee33a20efcc9e6 completed May 2, 2026, 3:03 p.m.
Created at: April 27, 2026, 6:05 a.m.