Triple

T20784344
Position Surface form Disambiguated ID Type / Status
Subject Male and Female (1919 film) E511587 entity
Predicate hasAlternativeMedium P141530 FINISHED
Object 35 mm film print 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: 35 mm film print | Statement: [Male and Female (1919 film), hasAlternativeMedium, 35 mm film print]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAlternativeMedium
Context triple: [Male and Female (1919 film), hasAlternativeMedium, 35 mm film print]
  • A. hasAlternativeSurface
    Indicates that one entity serves as a different or substitute surface option for another entity.
  • B. hasAlternativeView
    Indicates that one entity presents a different or contrasting perspective, interpretation, or representation relative to another entity.
  • C. hasAlternativeAttribution
    Indicates that an entity has another possible source, creator, or responsible party different from its primary or currently assigned attribution.
  • D. hasAlternativeBearers
    Indicates that an entity can be carried, represented, or borne by more than one possible bearer or carrier as alternatives.
  • E. hasAlternateExperience
    Indicates that an entity is associated with a different or substitute experience relative to a primary or standard one.
  • 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_69e0b4cac7a48190a715cb3d545df2b4 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c28a4584819084d2d02febe47001 completed April 21, 2026, 12:19 a.m.
PD Predicate disambiguation batch_69e5c0550ec481908a0877fb2409d983 completed April 20, 2026, 5:57 a.m.
PDg Predicate description generation batch_69e5c3cbe5788190b7ace43bfdac2ef6 completed April 20, 2026, 6:12 a.m.
Created at: April 16, 2026, 12:38 p.m.