Triple

T18446570
Position Surface form Disambiguated ID Type / Status
Subject You Have Seen Their Faces E450670 entity
Predicate hasCaptionStyle P1609 FINISHED
Object first-person voice attributed to subjects 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: first-person voice attributed to subjects | Statement: [You Have Seen Their Faces, hasCaptionStyle, first-person voice attributed to subjects]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCaptionStyle
Context triple: [You Have Seen Their Faces, hasCaptionStyle, first-person voice attributed to subjects]
  • A. hasStyle chosen
    Indicates that an entity possesses, exhibits, or is characterized by a particular style or manner.
  • B. hasStructuralStyle
    Indicates that one entity possesses, exhibits, or is characterized by a particular architectural or structural design style.
  • C. includesTitleStyle
    Indicates that one entity incorporates or specifies a particular style or formatting for a title associated with it.
  • D. hasSystemStyle
    Indicates that one entity is associated with, or characterized by, a particular system-defined style of another entity.
  • E. hasInterpretationStyle
    Indicates a relationship where an entity is associated with a particular manner, method, or style in which it is interpreted or understood.
  • 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e52644959c8190b1117608e5fa15aa completed April 19, 2026, 7 p.m.
PD Predicate disambiguation batch_69e469c943a4819094c8fdc5971ad3a7 completed April 19, 2026, 5:36 a.m.
Created at: April 10, 2026, 11:30 a.m.